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10000 条实体 · 最后更新 2026-09-01T06:02:20.537Z · Neuromorphic engineering / Materials science / Computer science / Heterojunction / Optoelectronics / Encoding (memory) / Nonlinear system / Asynchronous communication / Interfacing / Spike (software development) / Artificial neural network / Spiking Neural Network

• Bayesian Inference via GeTe x ‐OTS Based Stochastic Synapse for Uncertainty‐Aware Medical Diagnostics
  ABSTRACT Neuromorphic architectures leveraging stochastic device physics present a transformative approach for implementing probabilistic computing paradigms capable of intrinsic uncertainty quantification. In this work, we present a germanium‐telluride‐based …
  openalex Xinyu Wen, Lun Wang, K. L. Wang, Vivian Zhao 等 2026-01-21 置信度 0.72 Neuromorphic engineeringComputer scienceScalabilityProbabilistic logicStochastic computing
• Emerging ferroelectric materials ScAlN: applications and prospects in memristors
  The research found that after doping with rare earth elements, a large number of electrons and holes will be produced on the surface of AlN, which makes the material have the characteristics of spontaneous polarization. A new type of ferroelectric material has…
  openalex Dong-Ping Yang, Xin‐Gui Tang, Qijun Sun, Jiaying Chen 等 2024-01-01 置信度 0.72 Materials scienceFerroelectricityMemristorDopingElectron
• Research Progress in Dielectric-Layer Material Systems of Memristors
  With the rapid growth of data storage, traditional von Neumann architectures and silicon-based storage computing technologies will reach their limits and fail to meet the storage requirements of ultra-small size, ultra-high density, and memory computing. Memri…
  openalex Chunxia Wang, Xuemei Li, Zhendong Sun, Yang Liu 等 2024-03-13 置信度 0.72 MemristorResistive random-access memoryResistive touchscreenVon Neumann architectureComputer science
• Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks
  Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the electronic pro…
  openalex Jacek Gosciniak, Jacob B. Khurgin 2025-07-10 置信度 0.72 Realization (probability)PhotonicsComputer scienceArtificial neural networkElectrical conductor
• Process-dependent ferroelectric and memristive properties in polycrystalline Ca:HfO2-based devices
  Memristors are considered key building blocks for developing neuromorphic or in-memory computing hardware. Here, we study the ferroelectric and memristive response of Pt/Ca:HfO2/Pt devices fabricated on silicon by spin-coating from chemical solution deposition…
  openalex C. Ferreyra, Miguel Badillo, M. J. Sánchez, Mónica Acuautla 等 2025-01-08 置信度 0.72 FerroelectricityMaterials scienceCrystalliteProcess (computing)Nanotechnology
• Artificial Intelligence-Based Aquaculture System for Optimizing the Quality of Water: A Systematic Analysis
  The world population is expected to grow to around 9 billion by 2050. The growing need for foods with high protein levels makes aquaculture one of the fastest-growing food industries in the world. Some challenges of fishing production are related to obsolete a…
  openalex Omar Capetillo-Contreras, Francisco David Pérez-Reynoso, Marco Antonio Zamora-Antuñano, José M. Álvarez-Alvarado 等 2024-01-13 置信度 0.72 AquacultureOverexploitationFishingPopulationBusiness
• Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function
  Despite considerable advancement of first choice treatment (pharmacological, physical therapy, etc.) over many decades, neurological disorders still represent a major portion of the worldwide disease burden. Particularly concerning, the trend is that this scen…
  openalex Marta Carè, Michela Chiappalone, Vinícius Rosa Cota 2024-03-07 置信度 0.72 NeurostimulationPersonalizationDeep brain stimulationModalitiesMedicine
• Experimental demonstration of magnetic tunnel junction-based computational random-access memory
  The conventional computing paradigm struggles to fulfill the rapidly growing demands from emerging applications, especially those for machine intelligence because much of the power and energy is consumed by constant data transfers between logic and memory modu…
  openalex Yang Lv, Brandon R. Zink, Robert P. Bloom, Hüsrev Cılasun 等 2024-07-25 置信度 0.72 Tunnel magnetoresistanceComputer scienceRandom accessRandom access memoryMaterials science
• From pulses to plasticity: Analytical tools for memristive synapse design
  Neuromorphic device design demands a clear understanding of the dynamics governing conductance modulation under external stimuli. Many synaptic memristors can be described by a quasi-linear model, where a memory variable relaxes between two limiting states. He…
  openalex Gonzalo Rivera‐Sierra, Juan Bisquert 2025-10-13 置信度 0.72 Neuromorphic engineeringMemristorComputer scienceElectronic engineeringVariable (mathematics)
• Fast learning without synaptic plasticity in spiking neural networks
  Spiking neural networks are of high current interest, both from the perspective of modelling neural networks of the brain and for porting their fast learning capability and energy efficiency into neuromorphic hardware. But so far we have not been able to repro…
  openalex Anand Subramoney, Guillaume Bellec, Franz Scherr, Robert Legenstein 等 2024-04-12 置信度 0.72 Synaptic plasticityNeuroscienceComputer scienceSpiking neural networkSynaptic scaling
• Programmable Functional Connectivity and Synchronous Activity in Resistive Switching Self‐Assembled Nanostructured Networks
  The efficiency of biological data processing systems is based on their adaptive connectivity and on the mutual interactions of their elements at different scales. These features are not substantially present in the design of electronic architectures based on c…
  openalex Davide Decastri, Thierry Nieus, Cristina Zuccali, Flavio Giacomozzi 等 2025-09-12 置信度 0.72 Neuromorphic engineeringComputer scienceEncoding (memory)Resistive touchscreenInformation processing
• Estimating optical flow: A comprehensive review of the state of the art
  Optical flow estimation is a crucial task in computer vision that provides low-level motion information. Despite recent advances, real-world applications still present significant challenges. This survey provides an overview of optical flow techniques and thei…
  openalex Andrea Alfarano, Luca Maiano, Lorenzo Papa, Irene Amerini 2024-09-16 置信度 0.72 Optical flowComputer scienceFlow (mathematics)State (computer science)Artificial intelligence
• Recent Progress in Flexible Piezoelectric Tactile Sensors: Materials, Structures, Fabrication, and Application
  Flexible tactile sensors are widely used in aerospace, medical and health monitoring, electronic skin, human-computer interaction, and other fields due to their unique advantages, thus becoming a research hotspot. The goal is to develop a flexible tactile sens…
  openalex Jingyao Tang, Yiheng Li, Yirong Yu, Qing‐Miao Hu 等 2025-02-05 置信度 0.72 Tactile sensorPiezoresistive effectCapacitive sensingPiezoelectricityElectronic skin
• Spike-Count Reduction Techniques for Low Power Spiking Neural Networks
  Spiking neural network (SNN) has demonstrated its great potential in low-power neuromorphic applications. In SNN, computation activities are associated with the arrival and firing of spikes, its power consumption is directly correlated with the number of spike…
  openalex Xinyu Kang, Zhitao Yang, Yuan Ren, Terry Tao Ye 2025-08-07 置信度 0.72 Spike (software development)Reduction (mathematics)Computational intelligenceSpiking neural networkArtificial neural network
• 2D Graphene Oxide: A Versatile Thermo‐Optic Material
  Abstract Efficient heat management and control in optical devices, facilitated by advanced thermo‐optic materials, are critical for many applications such as photovoltaics, thermal emitters, mode‐locked lasers, and optical switches. Here, a range of thermo‐opt…
  openalex Junkai Hu, Jiayang Wu, Wenbo Liu, Di Jin 等 2024-06-28 置信度 0.72 Materials scienceOptoelectronicsGrapheneRefractive indexPolarization (electrochemistry)
• Alcohol‐sensitive MoS 2 optoelectronic synapses for mimicking human‐like visual adaptation
  Abstract The rapid advancements in humanoid robotics and autonomous driving demand smart artificial optoelectronic vision systems that can emulate human‐like perception. Although many studies have reported multi‐functional visual chips based on artificial opto…
  openalex Xiao Liu, Ming Huang, Xiongfeng Zou, Wajid Ali 等 2025-04-15 置信度 0.72 Adaptation (eye)OptoelectronicsNeuroscienceMaterials scienceComputer science
• Toward Practical Single‐Molecule/Atom Switches
  Electronic switches have been considered to be one of the most important components of contemporary electronic circuits for processing and storing digital information. Fabricating functional devices with building blocks of atomic/molecular switches can greatly…
  openalex Xiaona Xu, Chunyan Gao, E. Ramya, Chuancheng Jia 等 2024-05-29 置信度 0.72 Molecular switchComputer scienceNanotechnologyKey (lock)Electronic circuit
• Bioinspired learning and memory in ionogels through fast response and slow relaxation dynamics of ions
  Mimicking biological systems’ sensing, learning, and memory capabilities in synthetic soft materials remains challenging. While significant progress has been made in sensory functions in ionogels, their learning and memory capabilities still lag behind biologi…
  openalex Ning Zhou, Ting Cui, Zhouyue Lei, Peiyi Wu 2025-05-16 置信度 0.72 IonRelaxation (psychology)Materials scienceChemical physicsNanotechnology
• All-silicon non-volatile optical memory based on photon avalanche-induced trapping
  Abstract Implementing on-chip non-volatile optical memories has long been an actively pursued goal, promising significant enhancements in the capability and energy efficiency of photonic integrated circuits. Here, we demonstrate an non-volatile optical memory …
  openalex Yuan Yuan, Yiwei Peng, Stanley Cheung, Wayne V. Sorin 等 2025-01-24 置信度 0.72 TrappingSiliconOptoelectronicsMaterials scienceNon-volatile memory
• The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity
  Abstract Non-crystalline materials exhibit unique properties that make them suitable for various applications in science and technology, ranging from optical and electronic devices and solid-state batteries to protective coatings. However, data-driven explorat…
  openalex Hui Zheng, Eric Sivonxay, Rasmus Christensen, Max C. Gallant 等 2024-12-19 置信度 0.72 Ab initioThermal diffusivityMaterials scienceComputer scienceDatabase
• Tunable Bipolar Photothermoelectric Response from Mott Activation for In‐Sensor Image Preprocessing
  In-sensor image preprocessing, a subset of edge computing, offers a solution to mitigate frequent analog-digital conversions and the von Neumann bottleneck in conventional digital hardware. However, an efficient in-sensor device array with large-scale integrat…
  openalex Bowen Li, Ning Lin, Zhaowu Wang, Zhaowu Wang 等 2025-04-25 置信度 0.72 Materials scienceResponsivityOptoelectronicsPhotodiodeImage sensor
• Memory Technology: Development, Fundamentals, and Future Trends
  The unprecedented development in the fields of artificial intelligence (AI), big data, and the internet of things (IoT) has been booming the expansion of the digital universe where data are growing at astronomical rates. The ever-increasing performance of comp…
  openalex Zongwei Wang, Yimao Cai 2023-10-09 置信度 0.72 Computer scienceFlash memorySemiconductor memoryComputer memoryNon-volatile memory
• Soft Artificial Synapse Electronics
  Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered b…
  openalex Md. Rayid Hasan Mojumder, Seongchan Kim, Cunjiang Yu 2024-12-27 置信度 0.72 ElectronicsSynapseNanotechnologyComputer scienceNeuroscience
• Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning
  Recent studies in reinforcement learning have explored brain-inspired function approximators and learning algorithms to simulate brain intelligence and adapt to neuromorphic hardware. Among these approaches, reward-modulated spike-timing-dependent plasticity (…
  openalex Zhile Yang, Shangqi Guo, Ying Fang, Zhaofei Yu 等 2024-12-09 置信度 0.72 Reinforcement learningArtificial intelligenceComputer scienceMachine learningPattern recognition (psychology)
• Deep photonic network platform enabling arbitrary and broadband optical functionality
  Expanding applications in optical communications, computing, and sensing continue to drive the need for high-performance integrated photonic components. Designing these on-chip systems with arbitrary functionality requires beyond what is possible with physical…
  openalex Ali Najjar Amiri, Aycan Deniz Vit, Kazim Görgülü, Emir Salih Magden 2024-02-16 置信度 0.72 Computer sciencePhotonicsScalabilityBroadbandElectronic engineering
• An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning
  adaptive synaptic potentiation and depression, in a closed-loop fashion. The microfabricated platform could be interfaced and control a robotic hand which ultimately was able to learn the grasping of differently sized objects, autonomously.
  openalex Ugo Bruno, Daniela Rana, Chiara Ausilio, Anna Mariano 等 2024-01-01 置信度 0.72 Neuromorphic engineeringReinforcement learningBridge (graph theory)Closed loopBrain tissue
• Vector Ising spin annealer for minimizing Ising Hamiltonians
  Abstract Complex optimization problems can be solved via dedicated machines which encode the problem in the couplings of spin Hamiltonians. However, traditional physical minimizers often select excited states due to limitations in spin dynamics. We introduce t…
  openalex James Cummins, Natalia G. Berloff 2025-05-29 置信度 0.72 Ising modelIsing spinSquare-lattice Ising modelStatistical physicsPhysics
• Spiking neural networks for physiological and speech signals: a review
  openalex Sung Soo Park, Young-Seok Choi 2024-06-25 置信度 0.72 Computer scienceSpiking neural networkWearable computerField (mathematics)Temporal resolution
• Post-processing methods for delay embedding and feature scaling of reservoir computers
  Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. Both delay embedding and the projection of input data into a higher-dimensional space play important roles in enabling accurate predictions. We estab…
  openalex Jonnel Anthony Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue 等 2025-01-27 置信度 0.72 Reservoir computingEmbeddingComputer scienceFeature (linguistics)Dimension (graph theory)
• NSIP: Neural Network SPICE Integration Platform for Ferroelectric Field‐Effect Transistor‐Based Crossbar Arrays
  This article presents the world's first demonstration of a neural network SPICE integration platform (NSIP) for simulating synaptic weights in HfZrO (HZO)‐based ferroelectric field‐effect transistor (FeFET) crossbar arrays tailored for neuromorphic computing. …
  openalex Juhwan Park, H. J. Kim, Hyunbo Cho, Jongwook Jeon 2025-06-25 置信度 0.72 Crossbar switchSpiceComputer scienceElectronic engineeringOptoelectronics
• Heusler alloys for metal spintronics
  Abstract Heusler alloys have been theoretically predicted and experimentally demonstrated to be an ideal spin source due to their half-metallicity at room temperature. The half-metallicity also offers low Gilbert damping constants for fast magnetization revers…
  openalex Atsufumi Hirohata, David C. Lloyd 2022-06-01 置信度 0.72 SpintronicsCondensed matter physicsMaterials scienceAlloySpin (aerodynamics)
• An inorganic-blended p-type semiconductor with robust electrical and mechanical properties
  Abstract Inorganic semiconductors typically have limited p-type behavior due to the scarcity of holes and the localized valence band maximum, hindering the progress of complementary devices and circuits. In this work, we propose an inorganic blending strategy …
  openalex You Meng, Weijun Wang, Rong Fan, Zhengxun Lai 等 2024-05-24 置信度 0.72 SemiconductorMaterials scienceOptoelectronicsNanotechnologyNanosphere lithography
• Unveiling the switching mechanism of robust tetrazine-based memristive nociceptors via a spectroelectrochemical approach
  ) and nanosecond level switching time (60 ns), can be successfully optimized. Moreover, a spectroelectrochemical strategy was employed for the first time to investigate the RS mechanism at the molecular level, elucidating the critical role of molecular design …
  openalex JiYu Zhao, Kun Liu, Wei Zeng, Zhuo Chen 等 2025-01-01 置信度 0.72 Mechanism (biology)TetrazineNociceptorChemistryComputer science
• Roadmap on Optics and Photonics for Security and Encryption
  In 1994, Javidi and Horner published a paper in Optical Engineering that highlighted the ability of free space optical systems to manipulate sensitive data for authentication purposes. The underlying idea was effective yet surprisingly simple: an optical nonli…
  openalex Bahram Javidi, Artur Carnicer, Kavan Ahmadi, Yasuhiro Awatsuji 等 2025-01-01 置信度 0.72 EncryptionPhotonicsComputer scienceUltrafast opticsOptics
• Smaller and Faster Robotic Grasp Detection Model via Knowledge Distillation and Unequal Feature Encoding
  In order to achieve higher accuracy, the complexity of grasp detection network increases accordingly with complicated model structures and tremendous parameters. Although various light-weight strategies are adopted, directly designing the compact network can b…
  openalex Hong Nie, Zhou Zhao, Lu Chen, Zhenyu Lu 等 2024-07-02 置信度 0.72 GRASPEncoding (memory)DistillationComputer scienceFeature (linguistics)
• Challenges and opportunities for validation of AI-based new approach methods
  The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep­resents a paradigm shift in chemical safety assessment. Harnessing AI appropriately has enormous potential to streamline validation efforts. This review explore…
  openalex Thomas Härtung, Nicole Kleinstreuer 2025-01-01 置信度 0.72 Computer scienceData scienceManagement scienceArtificial intelligenceEngineering
• Tactile Feedback in Robot‐Assisted Minimally Invasive Surgery: A Systematic Review
  BACKGROUND: Robot-assisted systems have predominantly relied on teleoperation, where visual feedback is the primary source of information. However, advances in tactile sensing and displays offer new opportunities to enhance surgical transparency, efficiency, a…
  openalex Jacinto Colan, Ana Davila, Yasuhisa Hasegawa 2024-12-01 置信度 0.72 TeleoperationComputer scienceRobotHuman–computer interactionSurgical robot
• Emergent digital bio-computation through spatial diffusion and engineered bacteria
  Biological computing is a promising field with potential applications in biosafety, environmental monitoring, and personalized medicine. Here we present work on the design of bacterial computers using spatial patterning to process information in the form of di…
  openalex Alex J. H. Fedorec, Neythen J. Treloar, Ke Yan Wen, Linda Dekker 等 2024-06-08 置信度 0.72 BacteriaDiffusionComputationComputer scienceComputational biology
• Bioelectronics with Topological Crosslinked Networks for Tactile Perception
  Abstract Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information‐processing systems, sensors, and act…
  openalex Mingqi Ding, Pengshan Xie, Johnny C. Ho 2025-02-04 置信度 0.72 BioelectronicsPerceptionTactile perceptionCognitive scienceMaterials science
• A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability
  Abstract The human brain facilitates information processing via generating and receiving temporal patterns of short voltage pulses, a.k.a. neural spikes. This approach simultaneously grants low‐power operation as well as a high degree of noise immunity and fau…
  openalex Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer 等 2024-10-10 置信度 0.72 Materials scienceTerminal (telecommunication)MemristorNeuronNanotechnology
• Engineering Nonvolatile Polarization in 2D α-In2Se3/α-Ga2Se3 Ferroelectric Junctions
  The advent of two-dimensional (2D) ferroelectrics offers a new paradigm for device miniaturization and multifunctionality. Recently, 2D α-In2Se3 and related III–VI compound ferroelectrics manifest room-temperature ferroelectricity and exhibit reversible sponta…
  openalex Peipei Li, Delin Kong, Jin Yang, Shuyu Cui 等 2025-01-22 置信度 0.72 FerroelectricityHeterojunctionMaterials scienceOptoelectronicsSemiconductor
• Recent Progress in Tactile Sensing and Machine Learning for Texture Perception in Humanoid Robotics
  ABSTRACT Humanoid robots have garnered substantial attention recently in both academia and industry. These robots are becoming increasingly sophisticated and intelligent, as seen in health care, education, customer service, logistics, security, space explorati…
  openalex Longteng Yu, Dabiao Liu 2024-12-30 置信度 0.72 Humanoid robotTactile perceptionArtificial intelligencePerceptionHuman–computer interaction
• LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification
  Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially when implemented on dedicated neuromorphic hardware. However, a significant challenge is the efficient conversion of continuous real-world data into the discrete s…
  openalex Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura‐Jiménez 等 2025-01-01 置信度 0.72 Spike (software development)PsychologyArtificial intelligenceComputer sciencePhysical medicine and rehabilitation
• Stochastic compact model for memory and threshold switching memristors
  Memristors are electron devices whose resistance changes according to the history of electrical signals applied to their two terminals. These resistance changes can remain for very long times or relax after a short time. Thus, memristors can be used as electro…
  openalex J. Suñé, E. Miranda 2025-03-01 置信度 0.72 MemristorComputer scienceElectronic engineeringEngineering
• Quantized Conductance and Multilevel Memory Operation in Mn 3 O 4 Nanowire Network Devices Combined with Low Voltage Operation and Oxygen Vacancy Induced Resistive Switching
  Abstract Quantum effects in nanowires and nanodevices can potentially revolutionize the device concepts with multi‐functionalities for future technologies. Memristive devices which undergo transition from high resistance state to low resistance state involve n…
  openalex Keval Hadiyal, Ramakrishnan Ganesan, R. Thamankar 2025-07-13 置信度 0.72 Materials scienceNanowireConductanceResistive random-access memoryVoltage
• Advanced Materials Research at CUHK: From Biomedicine to Electronics and Beyond
  This special issue spans a diverse array of topics, including nanomedicine, tissue engineering, regenerative medicine, organs-on-chips, biosensing, soft robotics, smart devices, nanofabrication, energy saving and storage, catalysis, spintronics, soft electroni…
  openalex Chuanbin Mao 2025-01-01 置信度 0.72 Materials scienceBiomedicineNanotechnologyElectronicsEngineering physics
• Photoinduced Melting of V4O7 Correlated State
  Abstract The compound V4O7 is one of the Magnéli phase (VnO2n − 1, n = 3, 4, …, 9) correlated vanadium oxides with distinct intriguing electronic and structural properties. The possibility to manipulate the phase state of V4O7 on an ultrafast time scale by lig…
  openalex Alexander Bartenev, Camilo Verbel, Qin Wu, Fernando Camino 等 2024-12-15 置信度 0.72 PhotoexcitationMaterials scienceUltrashort pulsePhotonicsNeuromorphic engineering
• Quantum simulations of complex systems
  Abstract In this review, we give a brief overview of quantum simulation as applied to the study of complex systems. In particular, we cover the basic ideas of quantum simulation, neuromorphic computation, the Sachdev–Ye–Kitaev model, as well as applications to…
  openalex O. Morsch, G. Massimo Palma, Davide Rossini 2025-05-01 置信度 0.72 Computer scienceQuantumStatistical physicsPhysicsQuantum mechanics
• Strategic & Large-Scale Considerations of Neuromorphic Computing
  Hardware Lottery• "History tells us that scientific progress is imperfect.Intellectual traditions and available tooling can prejudice scientists away from some ideas and towards others."• "…to describe when a research idea wins because it is compatible with av…
  openalex Craig M. Vineyard 2024-04-01 置信度 0.72 Neuromorphic engineeringScale (ratio)Computer scienceComputer architectureArtificial intelligence
• Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS
  Recent advancements in bio-inspired visual sensing and neuromorphic computing have led to the development of various highly efficient bio-inspired solutions with real-world applications. One notable application integrates event-based cameras with spiking neura…
  openalex Ria Patel, Sujit Tripathy, Zachary Sublett, Seoyoung An 等 2024-08-01 置信度 0.72 Computer scienceEvent (particle physics)Event dataArtificial intelligencePhysics
• A Comparative Analysis of Anomaly Detection Methods in IoT Networks: An Experimental Study
  The growth of the Internet of Things (IoT) and its integration with Industry 4.0 and 5.0 are generating new security challenges. One of the key elements of IoT systems is effective anomaly detection, which identifies abnormal behavior in devices or entire syst…
  openalex Emanuel Krzysztoń, Izabela Rojek, Dariusz Mikołajewski 2024-12-11 置信度 0.72 Anomaly detectionAnomaly (physics)Computer scienceData miningPhysics
• SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
  In this paper, we propose SpikingNeRF, which aligns the temporal dimension of spiking neural networks (SNNs) with the radiance rays, to seamlessly accommodate SNNs to the reconstruction of neural radiance fields (NeRF). Thus, the computation turns into a spike…
  openalex Xingting Yao, Qinghao Hu, Zhou, Fei, Tielong Liu 等 2023-09-20 置信度 0.72 Computer scienceGlobal illuminationComputationArtificial neural networkEnergy consumption
• Ultrathin All‐Solid‐State MoS 2 ‐Based Electrolyte Gated Synaptic Transistor with Tunable Organic–Inorganic Hybrid Film
  Abstract Electrolyte‐gated synaptic transistors (EGSTs) have attracted considerable attention as synaptic devices owing to their adjustable conductance, low power consumption, and multi‐state storage capabilities. To demonstrate high‐density EGST arrays, 2D ma…
  openalex Jungyeop Oh, Seohak Park, Sang Hun Lee, Sung-Kyu Kim 等 2024-04-02 置信度 0.72 Materials scienceElectrolyteMolybdenum disulfideChemical vapor depositionTransistor
• Biomimetic Janus MXene membrane with bidirectional ion permselectivity for enhanced osmotic effects and iontronic logic control
  Osmotic efficiency is fundamentally governed by the balance between membrane ion selectivity and permeability, a challenge central to both biological signal transmission and sustainable energy conversion. Conventional membranes are constrained to unidirectiona…
  openalex Qian Han, Hongzhao Fan, Puguang Peng, Yan Du 等 2025-09-17 置信度 0.72 MembraneJanusNanotechnologyIon channelIon transporter
• Smart Textile Optoelectronics for Human‐Interfaced Logic Systems
  Abstract Textiles with a freedom of form factor, unlimited scalability, and high programmability provide an ideal platform for constructing wearable optoelectronic systems. The emerging wearable technologies, like artificial intelligence and Internet of Things…
  openalex Hongyun Peng, Huiqiao Li, Guangming Tao, Liangjun Xia 等 2023-10-26 置信度 0.72 TextileScalabilityComputer scienceWearable computerNanotechnology
• Towards transformative innovation ecosystems: a systemic approach to responsible innovation
  To address societal challenges, innovators committed to responsibility need to find ways to break away from unsustainable, or otherwise undesirable, path-dependencies in sociotechnical regimes. Such path-breaking innovation should not come at the expense of so…
  openalex Philipp Neudert, Mareike Smolka, Stefan Böschen 2024-10-30 置信度 0.72 Transformative learningResponsible Research and InnovationBusinessKnowledge managementSociology
• Statics and dynamics of skyrmions interacting with disorder and nanostructures
  The study of skyrmions has grown as they have been realized in topologically stable spin-textured magnetic excitations. This overview treats magnetic skyrmions and skyrmion assemblies using a particle-based approach to describe a system in which the energy sca…
  openalex C. J. O. Reichhardt, C. J. O. Reichhardt, M. V. Miloševıć 2022-09-20 置信度 0.72 SkyrmionPhysicsCondensed matter physics
• Interfacial Electronic Charge Trapping and Photonic Carrier Excitation Coupling in Solution-Processed Zinc–Tin Oxide Thin-Film Transistors Applied for Logic Gate Design and Quantized Neural Network
  High Resolution Image Download MS PowerPoint Slide Components needed in Artificial Intelligence with a higher information capacity are critically needed and have garnered significant attention at the forefront of information technology. This study utilizes sol…
  openalex Pei-Hsuan Chang, Wun-Yun Lin, Ya‐Chi Huang, Yu-Chieh Chen 等 2024-12-18 置信度 0.72 Materials scienceTrappingOptoelectronicsExcitationTin
• Ferroelectric Field-Effects for Neuromorphic Hardware
  On conventional computers, the performance of AI models is limited by the data transfer between the memory and the processor. Compute-in-Memory architectures offer a new paradigm: Vector-Matrix Multiplications may be performed by a voltage drop through a matri…
  openalex Begon-Lours, Laura 2025-10-20 置信度 0.72 FerroelectricityNeuromorphic engineeringMaterials scienceOptoelectronicsCMOS
• Neuromorphic computing for radar and radio systems: a survey
  Abstract Taking inspiration from the brain on how to create energy efficient and low latency neuromorphic systems has the potential to create new opportunities with AI across many domains. Firstly, it creates a possibility to mitigate problems with too large d…
  openalex Hanna Hamrell, Thomas K. Sjögren, Hannes Ovrén 2026-04-22 置信度 0.72 Neuromorphic engineeringRadarComputer scienceEnergy (signal processing)Software-defined radio
• Physics to system-level modeling of silicon-organic-hybrid nanophotonic devices
  The continuous growth in data volume has sparked interest in silicon-organic-hybrid (SOH) nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH devices offer improved speed and energy efficiency compared to silicon photonics dev…
  openalex Maryam Moridsadat, Marcus Tamura, Lukas Chrostowski, Sudip Shekhar 等 2024-05-23 置信度 0.72 Computer scienceSilicon photonicsNanophotonicsPhotonicsNeuromorphic engineering
• Real-time human-robot interaction and service provision using hybrid intelligent computing framework
  Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service contexts are so…
  openalex Mohammed Albekairi, Meshari D. Alanazi, Turki M. Alanazi, Mohamed Vall Ould Mohamed 等 2025-06-27 置信度 0.72 Computer scienceAutomationRobotMatching (statistics)Simulated annealing
• A materials- and devices-centric approach to neuromorphic computing
  The fundamental physics of spintronic devices makes them an excellent technology for realizing neuromorphic computing hardware. At the heart of all spintronic devices is a magnetic material that can be driven out of equilibrium with spin torques and host dynam…
  openalex Shaloo Rakheja 2024-10-27 置信度 0.72 Neuromorphic engineeringComputer scienceComputer architectureComputational scienceArtificial neural network
• Electroactive composite biofilms integrating Kombucha, Chlorella and synthetic proteinoid Proto–Brains
  In this study, we present electroactive biofilms made from a combination of Kombucha zoogleal mats and thermal proteinoids. These biofilms have potential applications in unconventional computing and robotic skin. Proteinoids are synthesized by thermally polyme…
  openalex Anna Nikolaidou, Panagiotis Mougkogiannis, Andrew Adamatzky 2024-05-01 置信度 0.72 BiofilmChlorellaChemistryComposite numberBiochemistry
• Neural Synaptic Simulation Based on ZnAlSnO Thin-Film Transistors
  In the era of artificial intelligence, neuromorphic devices that simulate brain functions have received increasingly widespread attention. In this paper, an artificial neural synapse device based on ZnAlSnO thin-film transistors was fabricated, and its electri…
  openalex Yang Zhao, Chao Wang, Laizhe Ku, Liang Guo 等 2025-09-07 置信度 0.72 Neuromorphic engineeringExcitatory postsynaptic potentialPostsynaptic potentialTransistorSynapse
• Photonic Neuromorphic Computing enabled by a BIC Metasurface
  Photonic neuromorphic computing promises revolutionary advances in parallel and high-speed processing, yet a key challenge persists: co-integrating nonlinearity, dense connectivity, and intrinsic memory monolithically to enable brain-inspired, spatiotemporal i…
  openalex Jingsong Fu, Ruiheng Jin, Zhaohui Xie, Haijun Tang 等 2026-02-26 置信度 0.72 Neuromorphic engineeringReservoir computingComputer scienceScalabilityPhotonics
• Forecasting the future: From quantum chips to neuromorphic engineering and bio-integrated processors
  Computing is at the forefront of advances in human civilization and technology. Alongside communication, it is a critical technology that often drives improvements in many other scientific fields. Over the last 60 years, computing has achieved unprecedented ad…
  openalex Botlagunta Preethish Nandan 2025-05-07 置信度 0.72 Neuromorphic engineeringComputer architectureQuantumComputer scienceSystems engineering
• A neuroscience perspective on dendrites for neuromorphic computing
  openalex Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Frances Chance 2025-03-01 置信度 0.72 Neuromorphic engineeringPerspective (graphical)Computer scienceNeuroscienceCognitive science
• Reliable, efficient, and scalable photonic inverse design empowered by physics‐inspired deep learning
  On-chip computing metasystems composed of multilayer metamaterials have the potential to become the next-generation computing hardware endowed with light-speed processing ability and low power consumption but are hindered by current design paradigms. To date, …
  openalex Guocheng Shao, Tiankuang Zhou, Tao Yan, Yanchen Guo 等 2025-01-26 置信度 0.72 Computer scienceDeep learningScalabilityComputer engineeringMetamaterial
• Potentialities of electrochemical devices for memory and neuromorphic computing
  This chapter explores the transformative role of electrochemical devices in next-generation memory and neuromorphic computing systems. Bridging the gap between traditional energy applications and intelligent electronics, electrochemical platforms leverage ioni…
  openalex Harshita Rai, Kshitij RB Singh, Arunadevi Natarajan, Shyam S. Pandey 2025-12-15 置信度 0.72 Neuromorphic engineeringVon Neumann architectureComputer scienceLeverage (statistics)Bridging (networking)
• Variable‐Range Hopping Conduction in Amorphous, Non‐Stoichiometric Gallium Oxide
  Abstract Amorphous, non‐stoichiometric gallium oxide (a‐GaO x , x < 1.5) is a promising material for many electronic devices, such as resistive switching memories, neuromorphic circuits and photodetectors. So far, all respective measurements are interpreted wi…
  openalex Philipp Hein, Tobias Romstadt, Fabian M. Draber, Jinseok Ryu 等 2024-11-03 置信度 0.72 Variable-range hoppingMaterials scienceAmorphous solidStoichiometryRange (aeronautics)
• Controlled oxygen vacancy electrode reservoir for robust WO3-based memory devices
  Abstract Oxide-based memristors are promising candidates as neuromorphic hardware in energy-efficient edge computing applications for the Internet of Things (IoT). However, achieving simultaneously optimized memristive and synaptic performance with low-tempera…
  openalex Ziyi Yuan, Babak Bakhit, Jiahao Lu, Yi-Xuan Liu 等 2026-04-06 置信度 0.72 Neuromorphic engineeringMemristorMaterials scienceElectroformingElectrode
• Ultra‐Sensitive Negative Photoconductivity Transistors via Long‐Afterglow Doping for All‐Optical Encryption
  Abstract Negative photoconductivity (NPC)‐based devices, characterised by the light‐induced suppression of electrical conduction, have garnered significant interest for their multifunctional optoelectronic applications, fast light response and broadband spectr…
  openalex Jiangli Han, Ding Ma, Lixian Jiang, Yu Zhang 等 2025-10-25 置信度 0.72 Materials scienceOptoelectronicsPhotoconductivityDopingTransistor
• Symmetric pulse-enabled highly linear analog switching in ALD-grown HfO2/Ta2O5-based memristor for multi-level storage and synaptic applications
  Analog memristors with multilevel cells are suitable for analog in-memory and neuromorphic applications. Herein, we report a 2-bit/cell complementary-metal-oxide-semiconductor (CMOS)-compatible HfO 2 /Ta 2 O 5 bilayer memristor with both TiN electrodes fabrica…
  openalex Parthasarathi Pal, Sanjay Kumar, Themis Prodromakis 2026-03-23 置信度 0.72 Neuromorphic engineeringMemristorMaterials scienceSynaptic weightOptoelectronics
• Dynamic Reservoir Computing with Physical Neuromorphic Networks
  Reservoir Computing (RC) with physical systems requires an understanding of the underlying structure and internal dynamics of the specific physical reservoir. In this study, physical nano–electronic networks with neuromorphic dynamics are investigated for thei…
  openalex Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic 2025-06-30 置信度 0.72 Neuromorphic engineeringReservoir computingComputer scienceAttractorChaotic
• Key Concepts, Technologies, Current Challenges and Research Areas of Telecommunication Engineering and Neural Communication
  The field of telecommunication engineering has undergone remarkable progress, focusing on enhancing data transfer speed and reliability. Despite these advancements, challenges remain, particularly concerning the growing demand for bandwidth and the need for mo…
  openalex Anandakumar Haldorai 2023-01-05 置信度 0.72 TelecommunicationsKey (lock)Leverage (statistics)Computer scienceCommunications system
• Low-Power Ionically Tunable Bilayer MoS 2 Synaptic Transistors
  High Resolution Image Download MS PowerPoint Slide Electrochemical random-access memory (ECRAM) devices offer the possibility of highly linear, energy-efficient conductance modulation via electrochemical doping. This makes them attractive as synaptic weights f…
  openalex Or Levit, Emanuel Ber, Yair Keller, Boris Minkovich 等 2025-11-17 置信度 0.72 Materials scienceNeuromorphic engineeringConductanceTransistorGating
• Reconfigurable logic circuits and rectifier based on two-terminal ionic homojunctions
  Reconfigurable logic devices that can perform multiple functions with fewer components offer a solution for increasing data processing demands. Achieving reconfigurability without complex designs, however, remains challenging. In this study, we present a two-t…
  openalex Zhipeng Zhong, Xing Cheng, Wenqing Song, Qianyi Yang 等 2025-02-21 置信度 0.72 Terminal (telecommunication)Electronic circuitRectifier (neural networks)Computer scienceMaterials science
• Introducing sustainable neuromorphic computing in Engineering Mechanics
  Abstract We introduce a sustainable neuromorphic approach for numerical simulations in Engineering Mechanics. The finite element method (FEM) is widely used in engineering design; however, worldwide, there is no neuromorphic technology available in mechanics, …
  openalex Marcus Stoffel, Rutwik Gulakala, Vasileios Polydoras, Saurabh Balkrishna Tandale 2026-05-21 置信度 0.72 Neuromorphic engineeringNonlinear systemArtificial neural networkComputer scienceEnergy (signal processing)
• Highly stable two-dimensional Ruddlesden–Popper perovskite-based resistive switching memory devices
  s, and good endurance characteristics of 200 cycles. This study investigates temperature-dependent RS behaviors, elucidating the creation and annihilation of a conducting pathway in the presence of an external electric field. Additionally, the RS property of 2…
  openalex Milon Kundar, Koushik Gayen, Rajeev Ray, Dushyant Kushavah 等 2024-01-01 置信度 0.72 Perovskite (structure)Resistive random-access memoryResistive touchscreenMaterials scienceData retention
• Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables
  Time series generated by chaotic dynamical systems can be effectively predicted using readouts from driven reservoir dynamics. In practical scenarios, however, only time series measurements with partial knowledge of the chaotic system's state are usually avail…
  openalex Luk Fleddermann, Sebastian Herzog, Ulrich Parlitz 2025-05-01 置信度 0.72 Reservoir computingChaoticSeries (stratigraphy)Computer scienceRobustness (evolution)
• Review of visual reconstruction methods of retina-like vision sensors
  Retina-like vision sensors have been a new development in recent years. They output an asynchronous spike or event signal by continuously sampling the scene light intensity information. This research summarizes the sampling principle of existing retina-like vi…
  openalex 林 朱, 永鸿 田 2023-03-01 置信度 0.72 RetinaComputer visionOptometryArtificial intelligenceComputer science
• Native point defects in 2D transition metal dichalcogenides: A perspective bridging intrinsic physical properties and device applications
  Two-dimensional (2D) transition metal dichalcogenides (TMDs) hold immense promise as ultrathin-body semiconductors for cutting-edge electronics and optoelectronics. In particular, their sustained charge mobility even at atomic-level thickness as well as their …
  openalex Kyungmin Ko, Mingyu Jang, Jaeeun Kwon, Joonki Suh 2024-03-08 置信度 0.72 Bridging (networking)Transition metalMaterials scienceNanotechnologyPerspective (graphical)
• Advances in AI-powered energy management systems for renewable-integrated smart grids
  The accelerating global shift toward renewable energy integration presents both a technical imperative and a systemic challenge to traditional power grid architectures. Variability, decentralization, and real-time balancing requirements have exposed the limita…
  openalex Ifeanyi Kingsley Egbuna, Faisal Benna Salihu, Chinemeremma Collins Okara, Damilola Emmanuel Olayiwola 等 2025-05-23 置信度 0.72 Renewable energySmart gridSystems engineeringEnergy managementComputer science
• Large-scale photonic processors and their applications
  Digital electronics have been essential in all technological breakthroughs over the past decades, from the advent of the internet to the miniaturization of portable devices with ever-increasing capabilities. While they continue to drive technological innovatio…
  openalex Daniel Pérez, Luis Torrijos‐Morán 2025-08-04 置信度 0.72 Scale (ratio)PhotonicsComputer scienceParallel computingOptoelectronics
• MCU Intelligent Upgrades: An Overview of AI-Enabled Low-Power Technologies
  Microcontroller units (MCUs) serve as the core components of embedded systems. In the era of smart IoT, embedded devices are increasingly deployed on mobile platforms, leading to a growing demand for low-power consumption. As a result, low-power technology for…
  openalex Tong Zhang, Ben Huang, Xiewen Liu, Jiaqi Fan 等 2025-10-01 置信度 0.72 MicrocontrollerEmbedded systemKey (lock)UpgradeComputer science
• Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
  Crossmodal perception enabled by the human somatosensory system can be followed to effectively perceive and analyze multiple sensory signals. Here, we construct an artificial crossmodal sensory neuron system by integrating pressure–temperature bimodal sensors …
  openalex Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng 等 2026-01-29 置信度 0.72 CrossmodalNeuromorphic engineeringSensory systemSomatosensory systemComputer science
• Increased Static Charge‐Induced Threshold Voltage Shifts and Memristor Activity in Pentacene OFETs Comprising Polystyrene‐Based Gate Dielectrics Containing Electroactive Small Molecule Crystallites
  Abstract Top‐contact bottom‐gate pentacene OFETs are fabricated with single layer dielectrics comprised of either polystyrene (PS), poly(4‐methylstyrene) (P4MS), or poly(4‐tert‐butylstyrene) (P4TBS). The polystyrenes are blended with varying concentrations of …
  openalex Christopher R. Bond, Daniel H. Reich, Howard E. Katz 2024-09-18 置信度 0.72 Materials sciencePentaceneOrganic field-effect transistorPolystyreneDielectric
• Quantile-based Interpretable Neural Network Models: Mortality Forecasting and Actuarial Simulations
  This paper introduces a class of quantile-based, interpretable neural network (NN) models for mortality prediction: the Lee-Carter neural network (LCNN) model, the Renshaw-Haberman neural network (RHNN) model, and the simple neural network (simpleNN) model tha…
  crossref Yang Qiao, Jinggong Zhang, Wenjun Zhu, Chou‐Wen Wang 2026-03-26T04:24:29Z 置信度 0.70
• Autonomous Cognitive Agents in a Neural Network
  crossref Subhash Kak 2026-02-13T10:27:07Z 置信度 0.70
• Asymptotic Expansions for Quantum Neural Network Operators: A Non-Commutative Voronovskaya Theorem
  We establish a complete asymptotic expansion for Quantum Neural Network Operators (QNNOs) approximating arbitrary quantum channels, providing a non-commutative analogue of the classical Voronovskaya theorem. Within a rigorous functional analytic framework, we …
  crossref Rômulo Damasclin Chaves dos Santos 2026-05-21T02:03:38Z 置信度 0.70
• A Neural Network Model of Retrieval Difficulty in Chinese Handwriting
  Chinese speakers frequently experience failures in retrieving the orthographic form of characters during handwriting, a phenomenon known as the tip-of-the-pen (TOP) state, in which the writer knows the word but cannot produce its complete written form. Empiric…
  crossref Weihao Lin, Yongqi Su, Yueran Yang, Ruiming Wang 等 2026-07-10T18:36:41Z 置信度 0.70
• Fractional Convergence of Symmetrized Neural Network Operators: A Generalized Voronovskaya-Damasclin Approach
  This paper explores the asymptotic behavior of univariate neural network operators, with an emphasis on both classical and fractional differentiation over infinite domains. The analysis leverages symmetrized and perturbed hyperbolic tangent activation function…
  crossref 2026-05-08T07:51:54Z 置信度 0.70
• Are Atoms Enough? An Explainable Graph Neural Network for Carbon Capture and Gas Separation in Metal-Organic Frameworks
  Are atoms enough to represent metal-organic frameworks (MOFs) in a graph neural network? Dominant crystal graph neural networks assume so, encoding each MOF entirely through its atoms and leaving pore space to emerge on its own. We introduce PoreGCN, a heterog…
  crossref Abdulmujeeb T. Onawole 2026-06-02T08:57:17Z 置信度 0.70
• A Multitask Graph Neural Network Framework for AMES Mutagenicity Prediction
  The process of drug screening and development is long, complex, and costly, making early and reliable assessment of toxicity a central challenge in pharmaceutical research. In this context, the ability to accurately predict drug-induced toxicity in general, an…
  crossref Abigail E Teitgen, Eugenia Ulzurrun, Nuria E Campillo, Eduardo R Hernández 2026-01-30T07:31:21Z 置信度 0.70
• SHEAR WAVE MODELLING FROM CONVENTIONAL WELL LOGS USING INTEGRATED DEEP LEARNING INTEGRATED CONVOLUTIONAL NEURAL NETWORK (I-CNN)
  Shear-wave velocity (Vs), together with compressional wave velocity, provides a crucial source of information for both geomechanical and geophysical studies. Vs data are often unavailable. Moreover, direct measurement of Vs remains relatively costly. Four mach…
  crossref Rahmat Catur Wibowo, Ida Bagus Suananda Yogi, Indra Arifianto, Muh Sarkowi 2026-07-29T20:46:00Z 置信度 0.70
• A Neural Network-Assisted Variable Step-Size NLMS Algorithm
  The traditional normalized least-mean-square (NLMS) algorithm faces an inherent trade-off between convergence rate and steady-state error, and its adaptability is limited in non-stationary environments. This paper proposes a neural network-assisted variable st…
  crossref Zhipeng Li, Yalan Guo 2026-04-13T11:38:26Z 置信度 0.70
• Randomized neural network with adaptive forward regularization for online task-free class incremental learning
  crossref Junda Wang, Minghui Hu, Ning Li, Abdulaziz Al-Ali 等 2026-05-16T06:10:57Z 置信度 0.70
• Predicting Kresling Origami Mechanics under Compression Using Simplicial Neural Network
  Kresling origami structures exhibit strongly nonlinear mechanical behaviour that is difficult to predict using reduced-order models or graph neural networks (GNNs), which are limited to pairwise interactions. This work presents the first simplicial neural netw…
  crossref Fukun Xia, Shanqing Xu, Guangsi Shi, zhipeng gao 等 2026-05-27T13:40:08Z 置信度 0.70
• A photonically linked memristive neural network
  crossref Ilia Valov, Xin Zheng 2026-01-14T10:01:52Z 置信度 0.70
• Enhancement of AV1 Compressed Images Using Image Blind Denoising Feature of Dual Convolutional Neural Network (DCBDNet)
  crossref Atiq urRehman, Waqar Ahmad 2026-01-21T07:42:02Z 置信度 0.70
• Delta Observer: Learning Continuous Semantic Manifolds between Neural Network Representations - From Geometric Divergence to Linear Semantic Accessibility
  Neural networks solving the same computational task can learn fundamentally different internal representations depending on their architectural inductive biases. Understanding and comparing these representations remains a central challenge in interpretability …
  crossref Aaron Josserand-Austin 2026-03-10T10:32:47Z 置信度 0.70
• SHARE: A Neural Network Learning Module Bridges Biology, Computation, and Aritifical Intelligence Literacy
  crossref Jennifer Hatch 2026-08-21T14:49:31Z 置信度 0.70
• Optimized Adaptive Multiobjective Evolutionary Algorithm for Cognitive Radio Resource Scheduling Using Deep Neural Network
  crossref Rushikesh Pawar 2026-04-15T19:22:02Z 置信度 0.70
• Semi-tensor product-based convolutional neural network
  crossref Daizhan Cheng, Xiao Zhang 2026-03-16T11:15:59Z 置信度 0.70
• OptiSVDD: An Optical Neural Network Framework for One-Class Anomaly Detection
  crossref Zongtao Chen, Na Wang, Xinyu Zhang 2026-06-24T19:47:19Z 置信度 0.70
• A comprehensive survey on graph neural networks for gene regulatory network inference
  Abstract The gene regulatory network (GRN) represents a complex web of genetic interactions that governs cellular functions and responses to environmental stimuli. Understanding these intricate relationships is crucial for advancing developmental biology, dise…
  crossref Noor Jamal Alkhateeb, Mamoun Awad 2026-07-29T11:11:09Z 置信度 0.70
• Retraction Note: Analysis of industry convergence based on improved neural network
  crossref Nan Ma 2026-01-06T07:56:23Z 置信度 0.70
• Optimization Enabled Neural Network for Early Prediction of ICU Admission
  crossref Abhishek Patil, Yuvraj Patil 2026-06-22T19:52:40Z 置信度 0.70
• Scaling Laws of Deep-Learning Neural Networks: Expressive Power
  crossref Cheng Wang, Yuhang Lin 2026-08-11T22:17:50Z 置信度 0.70
• Multimodal deep neural network inference for design colour emotion quantification
  crossref Wenjie Wang 2026-08-15T13:00:35Z 置信度 0.70
• Neural Network Model with Cascaded Structure for State-of-Charge Estimation in Lithium-Ion Batteries
  crossref 2026-08-18T01:42:21Z 置信度 0.70
• Nursing Risk Assessment of Child Using Temporal Spatial Weighted Probabilistic Neural Network
  crossref Lili Chai 2026-06-23T19:43:02Z 置信度 0.70
• Integrations with a neural network
  Abstract In this contribution we describe a strategy to automatically perform parametric integrations through a specialized fitting of a neural network. The training is performed only once and the result can be used to obtain the value of the integral for any …
  crossref Daniel Maître, R. Santos-Mateos 2026-05-14T10:32:37Z 置信度 0.70
• Physics-guided neural network framework for surface roughness prediction in additively manufactured metallic alloys
  Surface roughness (Ra) significantly influences fatigue performance, corrosion behavior, and postprocessing requirements in additively manufactured metallic components. In practice, Ra optimization remains dependent on alloy-specific experimental campaigns, li…
  crossref Aswin Karkadakattil 2026-03-05T13:55:49Z 置信度 0.70
• Physics-Informed Neural Network Engines to Predict Viscoelastic Behavior of Elastomers/Hydrogels
  Abstract This study presents a physics-informed neural network (PINN) framework to model the nonlinear viscoelastic behavior of polymers and soft materials. By integrating principles from polymer science, statistical physics, and continuum mechanics, the model…
  crossref Hossein Naderi, Roozbeh Dargazany 2025-11-24T15:07:46Z 置信度 0.70
• Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing
  crossref Chris Yakopcic, B. Rasitha Fernando, Tarek M. Taha 2019-10-01T03:44:32Z 置信度 0.70
• Neural Network-Based Energy Management for a Grid-Connected Solar PV-Battery EV Charging Station with ANFIS MPPT
  This paper presents an integrated artificial-neural-network (ANN) energy management system (EMS) for a single-phase grid-connected solar photovoltaic (PV) powered electric-vehicle (EV) charging station supported by stationary battery energy storage. An adaptiv…
  crossref Premkumar K 2026-08-14T06:55:16Z 置信度 0.70
• Deep neural network-based biostatistical analysis for disease marker screening
  crossref Xinyi Wang 2026-01-29T09:56:15Z 置信度 0.70
• Interpolation Approximation of Fractional Order Differential Equations and Its Physical Information Neural Network Solution
  crossref Liu Xuan, Hengfei Ding, Haidong Qu 2026-01-24T14:13:16Z 置信度 0.70
• Contactless Respiratory Monitoring Using Acoustic Convolutional Neural Network Classification
  crossref Kirill Kurskiy, Yuanying Qu, Minzhang Liu, Jiafeng Zhou 2026-02-24T09:12:56Z 置信度 0.70
• Network Traffic Detection in Software‐Defined Network Using Optimized Rotation‐Invariant Coordinate Convolutional Neural Network
  ABSTRACT software‐defined networking (SDN) offers flexible traffic management but remains vulnerable to sophisticated cyberattacks, necessitating accurate and efficient network traffic detection. Existing SDN‐based intrusion detection systems often suffer from…
  crossref V. Sujatha, S. Prabakeran 2025-12-16T00:25:41Z 置信度 0.70
• A novel skin cancer detection architecture using tangent rat swarm optimization algorithm enabled DenseNet
  crossref Balashanmuga Vadivu P, Om Prakash PG, Aravind Karrothu, Sriramakrishnan GV 2025-02-28T06:58:31Z 置信度 0.70
• Contrail Persistence Prediction Using a Probabilistic Deep Neural Network Based Hybrid Modeling Framework
  crossref R Murali Krishnan, Anindya Bhaduri, Brett Matthews, Saikat Ray Majumder 2026-01-29T07:09:51Z 置信度 0.70
• Robust Retrieval in a Photonic Hopfield Neural Network
  We demonstrate a 100-neuron photonic Hopfield neural network using a spatial light modulator that stores and retrieves 13 noisy patterns near the critical capacity α c = 0 . 138, with further capacity gains achievable through added nonlinearity.
  crossref Michael Katidis, Khalid Musa, Santosh Kumar, Zhaotong Li 等 2026-07-15T11:04:35Z 置信度 0.70
• WITHDRAWAL: Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method
  WITHDRAWAL: R. Li, Q. Zeng, “Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method”, IET Networks (2022): e12073. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ntw2.12073 The above article, published online on…
  crossref 2022-12-05T03:14:45Z 置信度 0.70
• Alert prediction in computer networks using transformer-based temporal graph neural networks: Identifying the next victim
  crossref Zahra Makki Nayeri, Mohsen Rezvani 2026-02-27T15:58:22Z 置信度 0.70
• Unsupervised Neural Network for Joint Optimization of RIS Phase Shift and Resource Allocation in mmWave Network
  crossref Pujitha Mamillapalli, Yoghitha Ramamoorthi, Abhinav Kumar, Tomoki Murakami 等 2026-03-10T19:50:41Z 置信度 0.70
• Role-Aware Contrastive Graph Neural Network for Social Network Analysis in Twitter Bot Detection
  crossref Ashish Anand, Lakshmi. S R, Kruthi. P, Senthil Kumar. P 等 2026-06-11T19:57:57Z 置信度 0.70
• Accelerating gas-network feasibility screening with a physics-informed graph neural network surrogate
  crossref Dongrui Jiang, Jochen Garcke, Okan Akca, Jeremias Hollnagel 等 2026-08-28T15:47:57Z 置信度 0.70
• ICARECS-2026 - EEG -DRIVEN MOTOR IMAGERY CLASSIFICATION USING DEEP NEURAL NETWORK FOR NEUROREHABILITATION APPLICATIONS
  The recognition of motor imagery (MI) event-related potential EEG in brain–computer interface (BCI) is still a difficulty problem owing to the low signal-to-noise ratio and strong non-stationary characteristic of EEG signal which varied with time, environment …
  crossref Sathiyanathan N 2026-08-03T09:41:37Z 置信度 0.70
• Experimental Demonstration of Memristor Stateful Logics for In-Memory Sorting
  crossref Hongrong Hu 2026-04-16T08:04:37Z 置信度 0.70
• Review for "Understanding the volatile memristor via direct observation of surface diffusion-regulated Cu-based conductive filaments"
  crossref 2026-04-25T21:02:46Z 置信度 0.70
• Research on Fault-Tolerant Algorithm for Memristor Neural Networks Based on On-Chip Training
  crossref Lei Wang, Youyu Wu 2024-07-24T17:48:49Z 置信度 0.70
• New Zero Power Memristor Emulator Model and Its Application in Memristive Neural Computation
  crossref Prashant Kumar, Pushkar Srivastava, Rajeev Kumar Ranjan, Montree Kumngern 2023-01-12T21:23:28Z 置信度 0.70
• Analog “neural” network integration
  crossref 2003-04-25T01:05:53Z 置信度 0.70
• An Uncertainty-Aware Leakage Detection Framework Based on Monte Carlo Dropout Neural Network
  crossref Oluwabunmi Iwakin, Nazia Raza, Faegheh Moazeni 2026-04-23T10:00:56Z 置信度 0.70
• Retraction Note: Detection of Assaults in Network Intrusion System using Rough Set and Convolutional Neural Network
  crossref N. Syed Siraj Ahmed, A. B. Feroz Khan 2026-06-01T10:59:05Z 置信度 0.70
• Effect of the memristor on Hopfield artificial neural networks and their application in encryption
  Abstract One way to strengthen encryption algorithms against attacks is to increase of encryption keys and the level of disorder in the encryption system. This paper investigates a cosine-based memristive model W(φ) = cos(φ) by analyzing the effects of signal …
  crossref Abu-Talib Y. Abbas, Mayada Marid Abdul Hussain, Ghida Yousif Abbass, Kaushik Dehingia 等 2026-02-21T14:15:48Z 置信度 0.70
• Smart online payment system using convolutional neural network algorithm compared with artificial neural network algorithm
  crossref T. P. Anithaashri, N. Velmurugan, T. M. Nithya, K. S. Guruprakash 2026-01-08T13:35:19Z 置信度 0.70
• Early Detection of Foetal Pathological Conditions with Neural Network Method: Implementation of Backpropagation Neural Network and SMOTE on Cardiotocography Data
  This research focuses on the development of an effective classification model for early detection of foetal pathological conditions using Cardiotocography (CTG) data by utilising the Backpropagation Neural Network (BPNN) method. The high maternal mortality rat…
  crossref Elin Haerani, Fadhilah Syafria, Novriyanto Novriyanto, Ismail Marzuki 2026-06-16T15:14:48Z 置信度 0.70
• Weighted Spatio-Temporal Graph Neural Network: A Novel Approach for Video Anomaly Detection
  crossref Linda Zitouni, Nahla Bhiri, Anouar Ben Khalifa 2026-03-14T15:02:05Z 置信度 0.70
• Review for "Integrated Digital and Analog Resistive Switching in a Bis-Indolyl Derivative-Based Memristor for Artificial Synaptic Applications"
  crossref 2026-06-16T21:36:14Z 置信度 0.70
• Multi-Hop IoT Network Fault Detection Using Spatio-Temporal Graph Neural Network
  crossref Bishal Lakha, Jianlin Guo, Kieran Parsons, Takenori Sumi 等 2026-07-15T20:00:48Z 置信度 0.70
• Deteksi Perokok Menggunakan Algoritma You Only Look Once (YOLO) dan Convolutional Neural Network (CNN)
  Teknologi pengolahan citra terus berkembang dan dimanfaatkan untuk identifikasi aktivitas manusia secara visual, termasuk pemantauan aktivitas merokok di kawasan tanpa rokok. Penelitian ini mengembangkan deteksi dan pengenalan aktivitas merokok dengan menggabu…
  crossref Aprilian Gevindo, Syafri Arlis 2026-03-30T09:20:21Z 置信度 0.70
• Mathematical Analysis of Attention Mechanisms and Research on the Linear Structure of Neural Network
  crossref Keyu Chen 2026-08-27T11:47:11Z 置信度 0.70
• A Novel Parameterization Framework and Neural Network-Based Surrogate Modeling for Rotorcraft Fuselage Aerodynamic Prediction.
  crossref Manmohan Thakur, Apurva Anand, Koushik Marepally, James Baeder 2026-01-29T07:39:48Z 置信度 0.70
• Automatic Construction and Key Process Identification of Power Grid Construction Project Schedule Network Based on Graph Neural Network and Critical Path Method
  crossref Pengfei Wang, Lexuan Cao 2026-08-24T19:11:21Z 置信度 0.70
• Spatio-Temporal Graph Neural Network with Global Spatio-Temporal Network for the Traffic Flow Prediction
  crossref K. Jyoshna, Ranjith Kumar Peddi, Pooja Nayak. S, Dhanamalar. M 等 2026-06-23T19:43:02Z 置信度 0.70
• Advanced Detection of VPN Network Traffic Utilizing an Optimized Curvature Graph Neural Network
  crossref Anitha Duraisamy, Nithya Arunagiri, Sharmila Vadivel, Velmurugan Ayyamperumal 2026-03-24T03:28:34Z 置信度 0.70
• Real-Time 3D Point Cloud Segmentation for Volumetric Weight Estimation using a Neural Network in a Mixed Reality Environment
  crossref Shane Robertson, Muhammad Diyan, Hiba Alsmadi 2026-05-08T19:37:43Z 置信度 0.70
• Neural Network-Based Active Vibration Suppression and Accurate Trajectory Tracking for Flexible Robotic Arms
  Abstract Due to the expansion of the operating space of the mobile robotic arm and the improvement of the mobile platform’s ability to interact with the environment, it is widely used in the fields of transportation, search and rescue, security and surveillanc…
  crossref Yanshu Li 2026-07-03T13:11:37Z 置信度 0.70
• Hybrid ladybug Hawk optimization-enabled deep learning for multimodal Parkinson’s disease classification using voice signals and hand-drawn images
  crossref Shanthini Shanmugam, Chandrasekar Arumugam 2025-03-04T08:53:51Z 置信度 0.70
• Prediksi Prognosis Kanker Payudara Menggunakan Hybrid Artificial Neural Network Dan Gaussian Naïve Bayes
  Breast cancer is one of the types of cancer that causes the most deaths in women in the world. Breast cancer prognosis is important to assist medical personnel in predicting the possibility of recurrence so that treatment can be provided more effectively. This…
  crossref Jesika Octavia Hutagaol, Margaretha Yohanna, Harlen Gilbert Simanullang 2026-06-27T08:01:28Z 置信度 0.70
• Research on Tea Polyphenol Detection Model Based on Residual Attention Convolutional Neural Network
  crossref Shixian Hu 2026-05-09T10:50:37Z 置信度 0.70
• Gaussian universality in neural network dynamics with generalized structured input distributions
  Abstract Analyzing neural network dynamics via stochastic gradient descent is crucial to building theoretical foundations for deep learning. Previous work has analyzed structured inputs within the hidden manifold model , often under the simplifying assumption …
  crossref Jaeyong Bae, Hawoong Jeong 2026-01-23T10:42:54Z 置信度 0.70
• Adaptive Aerospace Intrusion Detection Using HyperNEAT-Driven Neural Network Evolution
  crossref Mustafa I. Akbas, Regan B. Bossie, Tyler Donay, Richard Pepe 等 2026-02-03T08:40:23Z 置信度 0.70
• SpiTranNet-LIF: A Spiking Neural Network–Transformer Framework for Efficient Motor Imagery Decoding
  crossref Maryam Titkanlou, Alireza Hashemi, Roman Mouček 2026-03-15T06:35:40Z 置信度 0.70
• Symmetrical Turing instability in Chua corsage memristor siblings-based two-cell network
  Abstract The Turing instability, a counterintuitive phenomenon in which two quiescent cells lose stability when coupled through a dissipative environment, has been explained via the edge of chaos theory. While the classical Turing instability and its local for…
  crossref Zhicheng 桎成 Tian 田, Peipei 培培 Jin 靳, Shutong 姝彤 Liu 刘, Meiyuan 梅园 Gu 顾 等 2026-05-06T09:47:15Z 置信度 0.70
• 2d smoke pressure solving using custom transformer-based deep neural network
  High-resolution simulation of incompressible smoke is computationally expensive because it requires repeatedly enforcing incompressibility through large Poisson solves while advecting fields that contain fine-scale structure. Although classical Eulerian projec…
  crossref Michal Wieczorek, Marcin Wozniak 2026-06-30T16:55:14Z 置信度 0.70
• Physics-Informed Graph Neural Network Surrogate for Steady-State Gas Network Simulation and Feasibility Analysis
  Large-scale gas-network scenario evaluation is essential for integrated multi-carrier energy-system planning, particularly as gas infrastructure becomes increasingly coupled with power, heat, and hydrogen pathways. Conventional nonlinear hydraulic solvers prov…
  crossref Dongrui Jiang, Jochen Garcke, Okan Akca, Jeremias Hollnagel 等 2026-05-19T07:38:15Z 置信度 0.70
• Graph Neural Network Framework for Interpretable EEG-Based Emotion Recognition Using Frequency-Band and Connectivity Analysis
  crossref Ch Anwar Ul Hassan, Azhar Imran, Khursheed Aurangzeb, Hashim Elshafie 2026-05-08T19:37:43Z 置信度 0.70
• Consumer Purchase Intent Prediction in Cross-Border E-Commerce Based on a Fusion Model of Long Short-Term Memory Network and Convolutional Neural Network
  crossref Yuchen Man 2026-05-15T02:40:33Z 置信度 0.70
• Convolutional Neural Networks: Operation Principles and Applications
  crossref Haosen Yu, Peiyao Sun, Bingkai Ding, Basel Halak 2026-04-05T23:10:00Z 置信度 0.70
• PENERAPAN ALGORITMA ARTIFICIAL NEURAL NETWORK UNTUK KLASIFIKASI KUALITAS BUAH APEL
  Penelitian ini bertujuan untuk mengklasifikasikan kualitas buah apel menggunakan algoritma Artificial Neural Network (ANN) sebagai solusi terhadap keterbatasan metode seleksi manual yang cenderung subjektif, memakan waktu, dan kurang efisien pada skala industr…
  crossref Mega, Nia Marselina, Olivia Brilliant Chang 2026-05-07T10:19:56Z 置信度 0.70
• Klasifikasi Buah Kelapa Sawit dengan Convolutional Neural Network Arsitektur Inception-v4
  Industri kelapa sawit memegang peranan penting dalam perekonomian Indonesia, sehingga proses klasifikasi buah berdasarkan tingkat kematangan menjadi krusial untuk menjamin kualitas produksi minyak sawit. Penelitian ini bertujuan mengembangkan sistem klasifikas…
  crossref Theresia Kurniati Seran, Septyan Eka Prastya, Muhammad Zulfadhilah, Rudy Ansari 2026-07-15T07:45:04Z 置信度 0.70
• Flow‑Based Confidence Evaluation Method for Equivariant Neural Network
  crossref Zhuoyu Li, Dingkang Hu 2026-08-19T07:50:42Z 置信度 0.70
• Sistem Klasifikasi Citra Daun Obat Tradisional Dayak Kenyah Menggunakan Metode Convolutional Neural Network Dengan Arsitektur MobileNetV2
  Masyarakat Suku Dayak Kenyah mewarisi pengetahuan tradisional dalam pemanfaatan tumbuhan sebagai obat. Namun, kemiripan morfologi antarspesies, terutama pada bagian daun, sering menjadi hambatan dalam proses identifikasi yang akurat. Penelitian ini bertujuan u…
  crossref Arif Fadllullah, Tia Natalia 2026-04-17T09:50:43Z 置信度 0.70
• Adaptive Calculation Method of Line Loss of Distribution Network Based on Genetic Algorithm and Artificial Neural Network
  ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ensure accuracy and timeliness in practical applications. To addres…
  crossref Tianjun Chen, Tao Deng, Junyang Wu, Ming Wen 等 2026-04-02T02:39:23Z 置信度 0.70
• Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
  crossref Harriet L. Dao 2026-02-24T18:56:28Z 置信度 0.70
• Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches
  crossref Vladimir M. Krasnopolsky 2007-05-02T14:37:24Z 置信度 0.70
• Dynamics of an attractor neural network converting temporal into spatial correlations
  crossref Nicolas Brunel 2015-08-18T20:04:09Z 置信度 0.70
• Artificial Neural Network
  crossref 2012-01-20T08:29:16Z 置信度 0.70
• Stable Control of Wireless Charging under Coil Vibration Situation by A Transfer Learning-based Fuzzy Neural Network
  Abstract In recent years, wireless power transfer (WPT) systems have gained significant attention for their convenience,safety, and environmental advantages over traditional charging methods. However, the instability in received voltage due to coil vibration d…
  crossref Yunduo Xu 2026-02-19T12:45:44Z 置信度 0.70
• Engineering structural synthetic reliability estimation using enhanced moving neural network-based dimensional modeling method
  To perform synthetic reliability estimation of engineering structures, an enhanced moving neural network-based dimensional modeling (DMEMNN) method is proposed based on artificial neural network (ANN) model, heuristic algorithm, moving regression (MR) method a…
  crossref Junyao Wang, Cheng Lu, Da Teng 2026-07-13T15:40:17Z 置信度 0.70
• License Plate Recognition Technology Based on Neural Network
  crossref 2022-12-01T18:08:52Z 置信度 0.70
• artificial neural network
  crossref 2011-08-01T13:54:05Z 置信度 0.70
• An Attention-Based Graph Neural Network with Adaptive Gated Fusion for Predicting Molecular Solubility
  Aqueous solubility is an important property in drug discovery, as it strongly influences drug absorption, bioavailability, and therapeutic effectiveness. Chemists often seek to optimize molecular structures to improve solubility; however, experimental measurem…
  crossref Md. Shamim Parvej, Md. Anisur Rahman 2026-02-13T03:08:57Z 置信度 0.70
• GAF-SCNN: Ghost-Attention Fusion Semantic Convolutional Neural Network for Real-Time Urban Scene Understanding
  Real-time semantic segmentation is a key capability for autonomous driving, robotic navigation, and intelligent surveillance systems. To enable the use of dense predictors on resource-constrained edge devices, we seek to develop a model that jointly minimizes …
  crossref Ahsan Ul Haq, Veningston K 2026-04-25T02:41:52Z 置信度 0.70
• Comparative Evaluation of Neural Network Compression Techniques Across Cloud GPU, NPU, and CPU Platforms
  Pruning, INT8 quantization and knowledge distillation were compared across a cloud GPU, a laptop NPU and a 2017 desktop CPU over 46 configurations on MNIST and CIFAR-10. The NPU ran baseline inference three times faster than the cloud GPU, and the legacy CPU r…
  crossref Harri Sn 2026-08-20T17:55:52Z 置信度 0.70
• A Multitask Graph Neural Network Framework for AMES Mutagenicity Prediction
  The process of drug screening and development is long, complex, and costly, making early and reliable assessment of toxicity a central challenge in pharmaceutical research. In this context, the ability to accurately predict drug-induced toxicity in general, an…
  crossref Abigail E Teitgen, Eugenia Ulzurrun, Nuria E Campillo, Eduardo R Hernández 2026-01-30T19:07:16Z 置信度 0.70
• A PVT-Aware Offset Calibration of Dynamic Comparator Using Neural Network Assisted Capacitive Tuning
  crossref Angel Garg, Abhishek Sheoran, Anil Singh 2026-01-26T18:46:19Z 置信度 0.70
• Detecting hail-prone environments using a W-Net convolutional neural network
  Hailstorms are known to cause great damage to agriculture and infrastructure. However, understanding and identifying the conditions favorable to hail remains a major challenge due to the complex, multi-scale nature of deep convective processes. In this study, …
  crossref Lana Hercigonja, Zeeshan Aslam, Moetasim Ashfaq, Maja Telišman Prtenjak 2026-03-13T23:35:41Z 置信度 0.70
• Feature Augmentation-Based Adaptive Neural Network Control for Quadrotors
  In this article, an adaptive neural network (ANN) controller based on feature augmentation (FA) is designed for quadrotors. The proposed controller consists of two components: a position sub-controller and an attitude sub-controller. We use the ANN to estimate…
  crossref Bang Song, Mengxing Huang 2026-02-06T16:32:59Z 置信度 0.70
• ChemGNN: Graph Neural Network Surrogate Guided Design of Carbon Nanotube Membranes for High-Efficiency Desalination
  ChemGNN, a deep-learning-accelerated framework that learns a graph-based surrogate of membrane transport and actively proposes high-performance designs. Each CNT configuration is encoded as a heterogeneous graph in which tube nodes carry geometry and functiona…
  crossref Linyu Meng, Shuo Tang, Yaqing Luo 2026-07-20T08:24:47Z 置信度 0.70
• Identifying zircon provenances using domain-adversarial neural network
  Zircon trace element geochemistry is a pivotal tool for unraveling petrogenesis and the evolutionary history of the Earth’s crust. While two-dimensional (2D) discriminant diagrams are conventionally used to identify parent rock types, the emergence of machine …
  crossref Mengwei Zhang, Guoxiong Chen, Timothy Kusky, Mark Harrison 等 2026-03-14T01:11:56Z 置信度 0.70
• Neural network-driven adaptive PD controller for hexacopter UAV path tracking
  crossref Nigatu Wanore Madebo 2026-08-11T08:03:28Z 置信度 0.70
• An Innovative Perspective to Profound Functions of the Brain: Hypothesis of Resonance of Closed Neural Network Geometries
  Abstract Perception and consciousness can be reformulated as intrinsic properties of resonant dynamics in recurrent neural circuits. Despite extensive empirical characterization of cortical activity, existing models lack a principled mechanism explaining how t…
  crossref Hasan Niazi 2026-07-21T07:31:31Z 置信度 0.70
• Soliton Profiles in 1D: Enhanced Neural-Network Solvers and Constrained Deep Ritz Methods
  We develop and compare {\it enhanced} neural-network solvers for one-dimensional ground-state profiles, which are solutions of $$Q^{\prime\prime}=bQ-\gamma Q^{p},\quad Q&gt;0,\quad p&gt;1, \quad b&gt;0,$$the stationary profile equation for the nonlinear Schr\"…
  crossref CHANDLER HAIGHT, Alex D. Rodriguez, Svetlana Roudenko 2026-08-24T12:00:02Z 置信度 0.70
• Memristor-Based Design of Sparse Compact Convolutional Neural Network
  crossref Shiping Wen, Huaqiang Wei, Zheng Yan, Zhenyuan Guo 等 2019-08-14T20:17:46Z 置信度 0.70
• Neural Network Control of Nonstrict Feedback Nonlinear Systems
  crossref 2020-12-02T00:22:01Z 置信度 0.70
• Efficient Nudged Elastic Band Method using Neural Network Bayesian Algorithm Execution
  Abstract The discovery of a minimum energy pathway (MEP) between metastable states is crucial for scientific tasks including catalyst and biomolecular design. However, the standard nudged elastic band (NEB) algorithm requires hundreds to tens of thousands of c…
  crossref Pranav Kakhandiki, Sathya Chitturi, Daniel Ratner, Sean Gasiorowski 2026-03-04T07:27:21Z 置信度 0.70
• Intrinsic variability and benchmarking of Long Short-Term Memory neural network for wind speed prediction
  In recent years, complex Artificial Intelligence (AI) models have emerged as a key approach for renewable energy forecasting. However, studies often fail to adequately benchmark foundational models, like pure Long-Short Term Memory (LSTM) networks, against ext…
  crossref Akram Miriyev, Wolf-Gerrit Fruh 2026-06-10T14:48:56Z 置信度 0.70
• A 500KV Transmission Line Fault Detection, Classification and Location Using Artificial Neural Network
  A large amount of electrical power is intended to be transported from generation point to consumption point via overhead lines. These transmission lines are often subjected to a wide range of conditions that can result in electrical faults. This paper focuses …
  crossref Yusufu Meshit Ndonkeh, Thomas Mih, Edickson Bobo Yungho 2026-08-08T01:37:15Z 置信度 0.70
• Time-Series Modeling Based on a Modified Volterra Neural Network
  This paper proposes a novel neural network model that integrates a modified Volterra digital filter with a feedforward neural network for time-series modeling. In the proposed architecture, all input signals in the conventional Volterra filter are replaced by …
  crossref Wei-Der Chang 2026-05-13T16:26:37Z 置信度 0.70
• Enhancing Minimization Methods for Electrical Impedance Tomography Inverse Problem Using Convolutional Neural Network Architectures
  This paper investigates the improvement of accuracy and efficiency in the Alternating Direction Method of Multipliers for recovering a non-smooth diffusion parameter in ill-posed elliptic boundary value problems, particularly in Electrical Impedance Tomography…
  crossref Oumaima Anzal, Najib Guessous, Youssef Ouakrim 2026-03-12T22:38:54Z 置信度 0.70
• Regular session 2: Neural network algorithms and realizations
  crossref 2013-01-31T12:22:27Z 置信度 0.70
• BuRNN: Buffer Region Neural Network Approach for Polarizable-Embedding Neural Network/Molecular Mechanics Simulations
  crossref 2022-04-25T13:21:46Z 置信度 0.70
• Dominance Scoring Method Using Multi-layer Graph Convolutional Neural Network and Geometric Formation Features
  crossref Shunsuke Takagi, Yohei Nakada 2026-04-24T19:44:40Z 置信度 0.70
• An analytically differentiable submatrix-descriptor neural-network potential for molecular simulations of liquid water
  Machine-learning potentials can accelerate atomistic simulations, but their use in molecular dynamics requires descriptors that are symmetry preserving, differentiable and straightforward to evaluate. We present a compact neural-network potential based on loca…
  crossref Varadarajan Rengaraj, Thomas D. Kühne, Thomas Kühne 2026-05-26T06:03:36Z 置信度 0.70
• Enhanced Motion Prediction of Semi-Submersible Platform Using Bayesian Neural Network and Field Monitoring Data
  The motion prediction of semi-submersible platforms is of significant importance for improving operational efficiency, ensuring platform safety, and providing early warning information for potential risks. Traditional prediction methods, such as those based on…
  crossref Song Li, Jia-wang Chen 2026-02-02T05:09:43Z 置信度 0.70
• ADS-B Signal Separation with a Dual-Path Convolutional-Recurrent Neural Network
  crossref Burcu Türk, Işın Erer 2026-08-11T19:20:04Z 置信度 0.70
• Accelerated Permeability Upscaling: A Convolutional Neural Network Approach
  Summary Efficiently determining effective permeability involves substantial computational efforts, even when employing local upscaling techniques. This research utilizes a convolutional neural network (CNN) architecture for the rapid estimation of effective pe…
  crossref Mohammad Sayyafzadeh, Saeid Telvari, Dominique Guérillot, Mohammad Sharifi 2026-01-27T15:23:17Z 置信度 0.70
• Chip dynamic power prediction method based on improved graph neural network
  crossref Sihan Du 2026-08-12T17:59:03Z 置信度 0.70
• Communications in Mathematical Physics Neural Network Formation via Navier-Stokes Dynamics and Spectral Encoding by Riemann Zeta Zeros
  We propose a theoretical framework in which neural network formation is modeled as an emergent process governed by Navier-Stokes-type dynamics on a highdimensional functional manifold. In this framework, neural connectivity patterns arise from the evolution of…
  crossref Chur Chin 2026-03-10T11:14:14Z 置信度 0.70
• Deep Convolutional Neural Network Driven 3D Facial Geometry
  crossref 2026-01-10T06:21:22Z 置信度 0.70
• Memristor crossbar based hardware realization of BSB recall function
  crossref Miao Hu, Hai Li, Qing Wu, Garrett S. Rose 等 2012-08-01T16:47:51Z 置信度 0.70
• Adversarially robust neural network decision boundaries via tropical geometry
  crossref Kurt Pasque, Christopher Teska, Ruriko Yoshida, Keiji Miura 等 2026-01-21T00:30:55Z 置信度 0.70
• Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulator
  crossref Yongjin Choi, Seungjun Lee 2026-01-26T16:08:09Z 置信度 0.70
• GAF-SCNN: Ghost-Attention Fusion Semantic Convolutional Neural Network for Real-Time Urban Scene Understanding
  We present GAF-SCNN (Ghost Attention Fusion Semantic CNN), a compact architecture for real-time semantic segmentation targeting edge deployment in autonomous driving, robotics, and surveillance. GAF-SCNN integrates three efficient design strategies within a Fa…
  crossref Ahsan Ul Haq, Veningston K 2026-05-13T06:42:52Z 置信度 0.70
• Review for "Graph Neural Network-Based Multi-Objective Bayesian Optimization for Enhanced Screening of Metal–Organic Frameworks with Optimal Separation Performance"
  crossref 2026-02-10T21:10:43Z 置信度 0.70
• Decision letter for "Controllable Synthesis and Enhanced Photochromic Performance of Er-Doped WO3 Nano Neural Network-like Structures"
  crossref 2026-01-14T21:08:35Z 置信度 0.70
• Neural-network-based design and implementation of fast and robust quantum gates
  crossref Anonymous 2026-08-31T18:45:26Z 置信度 0.70
• Context-aware misinformation detection using BERT-based neural network with TF-IDF integration
  crossref 2025-12-17T10:56:44Z 置信度 0.70
• Data-Driven Capacity Estimation of Lithium-ion Batteries via Temperature-Coupled Neural Network
  crossref Ala A. Hussein 2026-05-20T19:48:55Z 置信度 0.70
• Artificial Neural Network Modeling of Surplus Value Extraction and Criminality: A Computational Approach from Political Economy
  crossref 2026-05-26T09:11:09Z 置信度 0.70
• A Few-shot Physics-inspired Diffractive Neural Network for Zooming Image Edge Detection
  We propose physics-inspired diffractive neural networks for zooming image edge detection. By embedding DNN-layers into the physical model of traditional lens imaging, our method requires fewer training-data, less diffractive layers, while achieving better gene…
  crossref Shengyao Xu, Pengsheng Zhou, Weijie Chang, Guofeng Zhu 等 2026-07-15T11:08:03Z 置信度 0.70
• Multi-graph Decoupled Heterogeneous Graph Neural Network with Reinforcement Learning and Decoupled Contrastive Loss
  Emotion Recognition in Conversation (ERC) is a key task in human-computer interaction and affective computing. Currently, leveraging graph neural networks to model the complex interactions among speakers has become mainstream. However, existing methods still f…
  crossref Yunfeng Xu, Hao Chen, Haipeng Tan 2026-04-09T17:39:54Z 置信度 0.70
• An energy-efficient attention-based spiking neural network for medical image classification
  Modern medical imaging demands models capable of processing high-resolution images while maintaining computational and energy efficiency compatible with clinical deployment. Current dominant approaches based on Convolutional Neural Networks (CNNs) and Vision T…
  crossref Garreau Kenza, Brad Niepceron, Emmanuel Bellenger, Filippo Grassia 2026-03-22T14:39:02Z 置信度 0.70
• L-System Genetic Encoding for Scalable Neural Network Evolution: A Comparison with Direct Matrix Encoding
  Abstract An artificial world of barriers and plains scattered with food is used to test the feasibility of using genetic algorithms to optimize hebbian neural networks to perform on problems without apriori knowledge of the problem domain. A formal L-System ba…
  crossref Alexander Stuy, Nodin Weddington 2026-04-27T01:38:46Z 置信度 0.70
• Skin Disease Diagnosis Using Convolutional Neural Network Techniques
  crossref 2026-03-27T10:36:14Z 置信度 0.70
• Discovering Human Behavioral Transmission Laws in Epidemics via a Physics-Constrained Neural Network
  Epidemic transmission is shaped not only by pathogen biology but by adaptive human behavioral responses, yet existing frameworks lack a mathematically explicit, data-derived formulation of this coupling. We introduce a physics-constrained neural network and sy…
  crossref Yang Xu, Qing Han, Jude Dzevela Kong 2026-04-13T15:43:28Z 置信度 0.70
• Author response for "A Hardware-Efficient Multi-Exit Bayesian Neural Network Accelerator for Speech Classification on FPGA"
  crossref haoheng huang, Zilong Liang 2026-04-14T21:11:02Z 置信度 0.70
• A Graph Neural Network Surrogate for Traffic Simulation in Probabilistic Wildfire Evacuation Planning
  Agent-based traffic simulation is one of the computational bottleneck in probabilistic wildfire evacuation frameworks that rely on Monte Carlo analysis to populate Bayesian network models. To address this challenge, this paper presents a graph neural network (…
  crossref Mohammad Pishahang, Eduardo Rodriguez, Enrique Lopez Droguett 2026-04-23T14:52:56Z 置信度 0.70
• A physically based neural network for flood routing: The Muskingum-Recurrent neural network
  crossref Zhaoxi Li, Tiejian Li, Jian Sun, Jiaye Li 等 2026-04-03T01:44:16Z 置信度 0.70
• NODE LEVEL CAPSULE GRAPH NEURAL NETWORK WITH ARTIFICIAL PROTOZOA OPTIMIZATION APPROACH
  Hybrid renewable energy systems (HRES) are frequently employed to combine several energy sources, like the sun, wind, and hydroelectric, to provide reliable power. These systems are essential for optimizing energy distribution and enhancing stability, especial…
  crossref Hemalatha G, Nithyashree R, Thirumoorthi P, Harikumar M E 2026-06-23T19:44:22Z 置信度 0.70
• Hardware-Efficient Neural Network Implementation: A Power-Accuracy Trade-off Analysis for Quantized Classification Neural Network
  This paper presents a comprehensive analysis of power-accuracy trade-offs in quantized neural network implementations for Application-Specific Integrated Circuit (ASIC) design. A three-layer feedforward neural network trained on the Wisconsin Breast Cancer dat…
  crossref Amogh Anshu N 2025-12-11T17:58:20Z 置信度 0.70
• AGNN-LB: Adaptive Graph Neural Network Based Load Balancing for Energy Efficient and Congestion Aware Wireless Sensor Networks
  Objectives: To propose a novel neural network-based load balancing approach for energy-efficient and congestion-aware routing in large-scale wireless sensor network (WSN) environments. The key objective is to develop intelligent routing that is capable of lear…
  crossref D Maheshwaran, V Saravanan 2026-07-08T07:20:02Z 置信度 0.70
• Dynamic shortcut connections of deep residual neural network
  crossref H. Moayed 2026-02-11T05:26:35Z 置信度 0.70
• Physics-informed neural network modelling of the Schrödinger equation for the Van Der Waals potential
  crossref 2026-06-04T08:24:16Z 置信度 0.70
• Error Analysis of Higher Order Integration Schemes in the Context of Neural Network based Modelling
  Abstract This work shows that numerical integration schemes, such as the trapezoidal sum, the randomized trapezoidal sum, the composite Simpson's rule and the composite Gaussian quadrature, might not achieve their asymptotic order for practical step widths whe…
  crossref Felix Mest, Martin Arnold 2026-08-03T09:36:19Z 置信度 0.70
• IGVFDS2924VBYG
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• Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks
  crossref Chinamu Kawano, Masanori Hashimoto 2024-01-15T15:56:12Z 置信度 0.70
• Design and Implementation of Intelligent Information System Based on Hybrid Neural Network
  crossref Junhao Su 2026-05-30T07:33:17Z 置信度 0.70
• Forest fire detection system using Convolutional Neural Network and MODIS satellite data in Indonesia
  crossref Sri ROSA 2026-07-31T10:56:11Z 置信度 0.70
• A Convolutional Neural Network-Based Garbage Classification Method with Overfitting Prevention
  crossref Ruixiang Guan 2026-08-17T19:18:35Z 置信度 0.70
• A multi-task neural network for source localization in shallow-water environment with depth classification
  Limited high-quality training data can cause overfitting and weak generalization in deep-learning-based source localization, leading to degraded performance in realistic environments. In this study, a multi-task neural network with a depth-classification branc…
  crossref Jing Guo, Juan Zeng 2026-07-15T15:43:36Z 置信度 0.70
• Direct fatality-based seismic design of steel moment-resisting frames using artificial neural network models
  crossref Hamed Dadkhah, Mahsa Noruzvand 2026-07-24T16:26:44Z 置信度 0.70
• <scp>RETRACTION</scp> : Research on Group Behavior Model Based on Neural Network Computing
  RETRACTION : J. Wei , Y. Tian , and J. Geng , “,” Computational Intelligence 38 no. ( 2022 ): 731 – 746 , https://doi.org/10.1111/coin.12403 . The above article, published online on 29 September 2020 in Wiley Online Library ( wileyonlinelibrary.com ) has been …
  crossref 2026-01-23T11:18:37Z 置信度 0.70
• Fault diagnosis algorithm for building electrical engineering systems based on BP neural network
  Abstract In view of the fact that the traditional diagnosis technology cannot meet the increasingly complex reliability requirements of modern building electrical systems, a fault diagnosis method of building electrical systems based on hyperparameter back pro…
  crossref Hua Liu 2026-08-04T22:58:07Z 置信度 0.70
• Graph Neural Network for Context-Aware Cyber Threat Intelligence: A Hybrid Approach
  The rapid expansion of Internet of Things (IoT) devices and advanced high-speed data transmission networks has complicated modern cyber attacks to the point that it is now relatively simple for attackers to evade the traditional security controls in place. The…
  crossref Rubina Khadim, Asma Razaq, Aoun Muhammad, Umar Fayyaz 等 2026-08-12T17:59:42Z 置信度 0.70
• Intelligent Adaptive Control with System Constraints
  crossref Kapil Sachan, Ahmad Jobran Al-Mahasneh, Sreenatha Anavatti, Radhakant Padhi 2026-06-23T11:09:07Z 置信度 0.70
• Physics-Informed Neural Network for Robust Petrophysical Interpretation with Learnable Physical Parameters
  Abstract Accurate estimation of porosity (ϕ), water saturation (SW), and shale volume (VSH) is crucial for quantitative reservoir characterization. Traditional deterministic models, such as Archie's equation and shaly-sand formulations (e.g., Simandoux, Waxman…
  crossref S. Acharya, K. Fabian, K. Westeng 2026-01-13T00:04:58Z 置信度 0.70
• Physics-Informed Neural Network Enhanced SRF-PLL for Grid-Connected Systems
  crossref Varsha Sunkara, Kartik Kashyap, Prabhakaran KK 2026-05-15T19:51:24Z 置信度 0.70
• Neural Network Techniques for Radio Signal Prediction in 5G Intelligent Communication Systems
  crossref Behruz Saidov, Daler Anvarzoda, Azamjon Davlatov 2026-04-27T19:47:39Z 置信度 0.70
• Survey of Neural Network Approaches to Target Tracking with an Emphasis on Interpretability
  crossref Marco Mari, Lauro Snidaro 2025-10-01T06:49:19Z 置信度 0.70
• A neural network-optimized broadband RF rectifier with wide dynamic range
  crossref Jialu Wang, Fabin Fan, Xiaofang Wu 2025-12-08T16:19:36Z 置信度 0.70
• Simultaneous imaging of basement relief and varying susceptibility using trained deep neural network
  ABSTRACT Imaging basement relief is challenging, given the unclear distribution of physical properties in the subsurface and the decreasing sensitivity of geophysical data to geometry with the increasing burial depth. Most previous studies using the traditiona…
  crossref Zhuo Liu, Yaoguo Li 2026-03-25T08:51:06Z 置信度 0.70
• Theoretical and Methodological Aspects of Integrating Neural Network Technologies into Forensic Science
  Introduction. The issues of using neural network technologies in forensic science are very relevant and discussed. Currently, various scientific projects are being implemented to create neural networks for solving problems of certain types of expertise. Howeve…
  crossref Nataliya M. Turkova 2026-06-24T13:18:18Z 置信度 0.70
• Graph Neural Network using Temporal and Spectral Correlations for Underwater Acoustic Event Detection
  Acoustic signals measured in underwater environments exhibit complicated and diverse temporal and spectral characteristics and often involve overlapping multiple sources, making accurate acoustic event detection challenging. Most of existing approaches only us…
  crossref Kibae Lee, Yoonsang Jeong, Chong Hyun Lee 2026-05-07T21:37:25Z 置信度 0.70
• Accuracy-Latency Trade-offs Under Neural Network Compression in Safety-Critical Edge AI Applications: A Controlled Simulation Study
  Abstract Neural network compression is indispensable for deploying AI on resource-constrained edge hardware across safety-critical domains including healthcare monitoring, prosthetic limb control, educational robotics, and autonomous navigation. Standard compr…
  crossref Nikitha 2026-04-14T10:29:21Z 置信度 0.70
• Factorial Benchmarking of Exact and Finite-Shot Gradient Resolvability in a Four-Qubit Hybrid Quantum Neural Network
  Abstract Gradient resolvability in quantum neural networks can depend simultaneously on circuit structure, objective construction, and finite-shot measurement, yet these interventions are usually benchmarked separately. We use a complete 2³ factorial design to…
  crossref Brandon Shen 2026-08-11T11:31:02Z 置信度 0.70
• Learning the Propagation of Policy Shocks in Global Food Trade: A Graph Neural Network Disciplined by Spatial Equilibrium
  Export restrictions in staple food markets raise prices far beyond the countries that impose them, yet the incidence of that transmission across the trade network, and the welfare it shifts between developing and developed economies, is hard to measure. This s…
  crossref Ayodele Idowu 2026-08-13T10:45:26Z 置信度 0.70
• Fixed-time synchronization of delayed memristor-based recurrent neural networks
  crossref Jinde Cao, Ruoxia Li 2017-01-26T01:43:46Z 置信度 0.70
• Modelling transpositional invariancy of melody recognition with an attractor neural network
  crossref Lubica Beňušková 2015-08-18T20:04:31Z 置信度 0.70
• Neural Network-Based Multitarget Radar Data Association Model for Education
  crossref O.N. Marchuk, V.A. Loginov 2026-06-12T19:41:19Z 置信度 0.70
• Research on Big Data Mining Methods Based on Graph Neural Networks
  crossref Qianhui Shen 2026-07-21T19:08:30Z 置信度 0.70
• Deformation prediction of deep foundation pit support based on BP neural network
  crossref Jianming Zhang 2026-08-20T11:23:50Z 置信度 0.70
• Review for "Integrated Digital and Analog Resistive Switching in a Bis-Indolyl Derivative-Based Memristor for Artificial Synaptic Applications"
  crossref 2026-06-16T21:36:14Z 置信度 0.70
• Image-Based Obfuscated Malware Detection Using Lightweight Binarized Neural Network Architecture
  crossref Khushboo Das, Dhruba Kumar Bhattacharyya 2026-05-05T19:59:50Z 置信度 0.70
• A Neural Network-Enabled OTFS-PAPR Reduction with Low Computational Complexity
  crossref M. I. Al-Rayif, E. E. Eldukhri 2026-01-28T06:37:35Z 置信度 0.70
• Rapid recognition of multimodal emotion based on graph convolutional neural network
  crossref Tan Liu, Qiqun Liu 2025-08-29T13:02:14Z 置信度 0.70
• Sparsification from dilute connectivity in a neural network model of memory
  crossref Miguel Maravall 2015-08-18T16:03:49Z 置信度 0.70
• A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification
  crossref Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni 等 2025-11-03T20:27:38Z 置信度 0.70
• Figure 10: Distribution of neural network architectures based on the pathology analyzed by the different types of neural network architectures.
  crossref 2024-10-21T04:07:31Z 置信度 0.70
• Neural Network-Based Classification of Skin Diseases with Deep Learning
  Millions of individuals all over the world have skin diseases and their adequate and timely diagnosis is inescapable in the treatment process. The paper explains a revolutionary approach to automated classification of skin diseases that uses the deep learning …
  crossref Ahmed Qusay Jawad 2026-06-02T06:59:12Z 置信度 0.70
• Joint stiffness estimation of body structure using neural network
  crossref A. Okabe, N. Tomioka 2026-01-27T09:05:51Z 置信度 0.70
• Multi-Channel Dynamic Convolutional Network for Knowledge Graph Completion
  crossref Yanni Feng, Haitao Yu 2026-04-07T19:54:56Z 置信度 0.70
• Benchmarking Ice-Water Equilibria Exhibited by Foundation Neural Network Potentials
  Herein we report the melting points of ice exhibited by some recently published foundation Neural Network Potentials (NNPs) using the direct coexistence method: SO3LR, Orb v3, MACE-MP and Fennix-Bio1, as well as the first generation model ANI-2x. Using our pre…
  crossref Rasmus Nilsson, Golnaz Roudsari, Mária Lbadaoui-Darvas, Bernhard Reischl 等 2026-03-27T05:53:51Z 置信度 0.70
• Exploration of Asymmetric Relationships in Graph Neural Network Topology
  As an information extraction framework, graph neural network has been widely used in many fields, but there is a serious problem of over-smoothing in graph neural network, that is, with the increase of the number of iterations, the nodes gradually tending towa…
  crossref Lin Ma, Wenjun Wang, Jun Wang, Zhitao Ma 2026-01-29T02:47:09Z 置信度 0.70
• Horizontal Gasliquid Swirling Flow Regime Identification Based on Attention Mechanism and Multi-scale Convolutional Neural Network
  Real-time identification of gasliquid two-phase flow regimes is essential for maintaining the safety and stability of industrial processes, including chemical production, petroleum transportation, and energy systems. However, swirling flow regimes characterize…
  crossref wen liu, jiayu li 2026-06-12T14:46:09Z 置信度 0.70
• Learning internal representations in an attractor neural network with analogue neurons
  crossref Daniel Amit†, Nicolas Brunel 2002-08-25T02:35:54Z 置信度 0.70
• GraphMux: A Graph Neural Network Framework for Encrypted Traffic Classification
  The growing dominance of encrypted network traffic and new encrypted algorithms (TLS 1.3, QUIC, DoH) poses significant challenges for reliable network classification, particularly as many existing approaches rely on text or image-based representations, which s…
  crossref Matan Klein, Revital Marbel, Chen Hajaj, Ran Dubin 等 2026-02-04T16:38:42Z 置信度 0.70
• Water and Gas Flooding Oil Monitored by a Realtime Unet-Neural-Network-Based Method
  To achieve real-time and accurate detections of residual oil distribution during water or CO₂ flooding, this study utilizes the high-frequency Ground Penetrating Radar (GPR) for monitoring of the flooding process in real time. The U-Net neural networks are tra…
  crossref Jie Zhang, Maolei Cui, Rui Wang 2026-03-25T06:03:14Z 置信度 0.70
• Deep neural network for glaucoma detection using contact lens sensor data
  crossref Paweł Pietrzak, Hubert Świerczyński, Szymon Szczęsny, Cezary Mazurek 等 2026-08-06T09:42:54Z 置信度 0.70
• Quantitative Pathway-Resolved Kinetics from Neural Network-Guided Weighted Ensemble Simulations
  Many crucial biomolecular processes, such as ligand dissociation and conformational switching, occur via multiple competing transition pathways. While standard rare-event sampling methodologies provide rigorous estimates of the global transition rate, they typ…
  crossref Dibyendu Maity, Shaheerah Shahid, Sayari Bhattacharya, Rupak Majumdar 等 2026-07-02T10:45:57Z 置信度 0.70
• Physics Informed Neural Network Model for Flow around Encapsulated Phase Change Materials
  In this work, we present a simple physics informed neural network framework for coupled flow and heat transfer around encapsulated phase change materials. The heat transfer fluid region is solved by using the continuity, momentum, and energy equations as const…
  crossref Subhasish Das, Manish Agrawal, Prasenjit Rath, Anirban Bhattacharya 2026-07-11T15:41:32Z 置信度 0.70
• A Hierarchical Spatial Graph Neural Network Resolves Immunogenic and Tolerogenic Tertiary Lymphoid Structures in Renal Cell Carcinoma
  Abstract Tertiary lymphoid structures (TLS) in the tumour microenvironment span a functional spectrum from immunogenic — driving germinal centre reactions and anti-tumour immunity — to tolerogenic, harbouring regulatory T cells and suppressive myeloid populati…
  crossref Gavin Peng 2026-04-09T07:55:17Z 置信度 0.70
• A Double-Head Physics-Informed Neural Network with RGB Consistency for Stable Training
  Physics-Informed Neural Networks (PINNs) offer a framework for solving partial differential equations without labeled datasets by embedding governing equations into the loss function. However, their performance deteriorates as problem complexity and spatiotemp…
  crossref Byeonggyu Jeon, Shin Hyuk Kim, Yongha Park 2026-05-26T05:39:37Z 置信度 0.70
• EGNN‑DEM: an approach combining equivariant graph neural network (EGNN) with DEM for particle breakage simulation
  Particle breakage is widespread in nature and engineering settings. Accurately simulating particle breakage behavior is therefore of great importance. Existing discrete element method (DEM) breakage models, such as particle replacement and bonded particle clus…
  crossref Deze Yang, Xihua Chu 2026-07-29T03:37:56Z 置信度 0.70
• Neural Network-Based Generation of Three-Dimensional Structured Elliptic Grids
  To address the limitations of traditional elliptic grid generation methods, a neural network-based framework for elliptic grid generation has been proposed. However, its applicability to three-dimensional problems remains unexplored. In this work, the framewor…
  crossref Huaijun Yue, Zaiyou Yang, Q Song, Ning Wei 等 2026-08-06T15:41:49Z 置信度 0.70
• Music Learning Path Optimization System Integrating Graph Neural Network
  Traditional music learning path recommendation systems often fail to model multidimensional correlations within knowledge structures, resulting in incomplete path coverage and limited adaptability. This study proposes a learning path optimization system integr…
  crossref D. N. Zhao 2026-08-14T08:42:51Z 置信度 0.70
• More accurate and reproducible glass transition temperature calculation with unsupervised machine learning and neural network charges
  Accurate computational modeling of the glass transition is a longstanding challenge in polymer chemistry. Atomistic molecular dynamics simulations offer a powerful approach to observe the changes in viscoelasticity, density and chain mobility associated with t…
  crossref Hannah N Turney, Micaela Matta 2026-04-17T06:22:21Z 置信度 0.70
• Integrating RBF Neural Network Forecasts into Hamilton-Jacobi-Bellman Portfolio Optimization: A Comparative Study with Monte Carlo Simulations
  This study examines how alternative scenario-generated methods affect Hamilton-Jacobi-Bellman portfolio optimization using real return data from publicly listed shipping companies. We compare two input-generation approaches: Radial Basis Function Neural Networ…
  crossref Alexander Vassilev 2026-04-26T10:44:02Z 置信度 0.70
• Dynamic Routing in Ring-Circulant NoCs Using a Modified Hopfield Neural Network
  Efficient and reliable routing remains a fundamental challenge in Networks‐on‐Chip (NoCs), especially under dynamic traffic patterns and time‐varying link conditions that degrade performance and scalability. Although ring‐circulant topologies offer desirable s…
  crossref Ali Rezaipour, Mona Moradi, Razieh Farazkish, Nasrin Amiri 2026-04-07T17:42:41Z 置信度 0.70
• Automated AFGL Quantum Number Assignment for CO2 Isotopologues using a Graph Neural Network
  Accurate quantum number assignment for calculated molecular energy levels is a critical bottleneck in generating line broadening parameters for comprehensive line lists for radiative transfer applications. We present an automated pipeline for assigning Air For…
  crossref Marco Barnfield, Sergei N. Yurchenko, Jonathan Tennyson 2026-07-25T02:38:16Z 置信度 0.70
• Dual-Parameter Distribution Correction for Neural-Network Calibration: A Shrinkage-and-Scaling Framework With Multi-Seed Empirical Validation
  Neural-network classifiers trained with cross-entropy loss are frequently mis-calibrated: their output probabilities do not match empirical accuracy rates. Standard training-time remedies such as label smoothing and focal loss, while widely used, can worsen ca…
  crossref RamaKrishna Pasupuleti 2026-07-29T13:24:17Z 置信度 0.70
• Granular Neural Network
  crossref 2011-08-29T12:20:21Z 置信度 0.70
• Research on Big Data Security Governance and Privacy Protection Strategies for Cross-Domain Data Circulation Scenarios
  crossref 2026-04-22T03:20:40Z 置信度 0.70
• Deep Neural Network Graph with Reinforcement Learning for Test Case Prioritization
  crossref 2025-09-07T15:33:59Z 置信度 0.70
• Evaluation of infrared radiations from top of the atmosphere through artificial neural network modeling
  crossref Usama Ayub YOUSUFZAI 2026-01-02T09:53:24Z 置信度 0.70
• An Accelerated Neural Network Framework for Facial Emotion Recognition
  crossref Neha Mathur, Paresh Jain, Pankaj Dadheech 2026-08-19T19:07:35Z 置信度 0.70
• Product Information Classification based on Convolutional Neural Network
  crossref 2022-12-01T18:14:38Z 置信度 0.70
• Optical diffraction neural network assisted computational ghost imaging through dynamic scattering media
  crossref Yuegang Li, Ze Zheng, Junjie Wang, Ming He 等 2026-03-20T07:33:17Z 置信度 0.70
• Graph Neural Network Based Skin Lesion Classification
  crossref Moorthi S, Senthil Kumar Thangavel, K Somasundaram 2026-04-29T19:46:17Z 置信度 0.70
• Hybrid Quantum–Classical Convolutional Neural Network for Robust RF Sensing
  crossref Yujie Sun, Xuyu Wang, Shiwen Mao 2026-03-09T19:55:54Z 置信度 0.70
• Achieving energy efficiency in FPGA-based neural network inference accelerators through approximate computing
  crossref Burhan Khurshid 2025-11-14T15:03:10Z 置信度 0.70
• A Hybrid Photonic Integrated Engine for Convolution and Full Connection in a Convolutional Neural Network
  We present a hybrid photonic integrated engine for convolutional neural networks. Four consecutive convolutional layers and a deep fully connected neural network with five hidden layers are experimentally implemented for the task of digit recognition.
  crossref Yiran Guan, Shanshan Cheng, Mahdi Chegini, Jianping Yao 2026-07-28T21:01:23Z 置信度 0.70
• Road Traffic Data Classification Using Deep Convolutional Neural Network
  crossref Yosr Ranim Slim, Joaquim Ferreira, Chokri Souani 2026-08-17T19:19:14Z 置信度 0.70
• Dual-stage deep neural network for tooth localization and caries segmentation in panoramic dental imaging
  Abstract This study develops and evaluates an automatic AI-based system for dental caries segmentation in panoramic radiographs, contributing to the expanding research on AI applications in dental imaging. Our approach implements a two-stage process: first usi…
  crossref Sirawich Vachmanus, Suchaya Pornprasertsuk-Damrongsri, Pattanasak Mongkolwat, Noppanan Phinklao 等 2026-03-13T04:44:18Z 置信度 0.70

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