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• 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 $$Q^{\prime\prime}=bQ-\gamma Q^{p},\quad Q>0,\quad p>1, \quad b>0,$$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
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• 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…
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