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• Targeting Brain Drug Delivery with Macromolecules Through Receptor-Mediated Transcytosis
  Brain diseases pose significant treatment challenges due to the restrictive nature of the blood-brain barrier (BBB). Recent advances in targeting macromolecules offer promising avenues for overcoming these obstacles through receptor-mediated transcytosis (RMT)…
  openalex Yuanke Li, Ruiying Liu, Zhen Zhao 2025-01-15 置信度 0.72 TranscytosisDrug deliveryAptamerTargeted drug deliveryBlood–brain barrier
• Design, construction and validation of a magnetic particle imaging (MPI) system for human brain imaging
  Abstract Objective. Magnetic particle imaging (MPI) was introduced in 2005 as a promising, tracer-based medical imaging modality with the potential for high sensitivity and spatial resolution. Since then, numerous preclinical devices have been built but only a…
  openalex Eli Mattingly, Monika Śliwiak, Erica E. Mason, Jorge Chacon‐Caldera 等 2024-12-11 置信度 0.72 Magnetic particle imagingNeuroimagingMagnetic resonance imagingComputer scienceMedical imaging
• A brain-computer interface roadmap for diagnosing and treating neurological disorders
  Currently, the global incidence of neurological disorders is on a continuous upward trend, posing severe challenges to the medical field. However, traditional diagnosis and treatment methods for such diseases are associated with risks arising from invasive pro…
  openalex Guangyi Sun, Yimeng Wang, Hongxing Liu, Longer Weng 等 2025-01-01 置信度 0.72 Brain–computer interfaceMedicineQuality of life (healthcare)Interface (matter)Dilemma
• Brain-Computer Interfaces in Rehabilitation: Implementation Models and Future Perspectives
  Brain-computer interfaces (BCIs) represent an emerging advancement in rehabilitation, enabling direct communication between the brain and external devices to aid recovery in individuals with neurological impairments. BCIs can be classified into invasive, semi-…
  openalex Raktim Swarnakar 2025-07-28 置信度 0.72 MedicineRehabilitationPhysical medicine and rehabilitationBrain–computer interfaceHuman–computer interaction
• A comprehensive survey of complex brain network representation
  Recent years have shown great merits in utilizing neuroimaging data to understand brain structural and functional changes, as well as its relationship to different neurodegenerative diseases and other clinical phenotypes. Brain networks, derived from different…
  openalex Haoteng Tang, Guixiang Ma, Yanfu Zhang, Kai Ye 等 2023-11-01 置信度 0.72 NeuroimagingModalitiesDeep learningArtificial intelligenceComputer science
• Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X
  Introduction: Enhancing the command capacity of motor imagery (MI)-based brain-computer interfaces (BCIs) remains a significant challenge in neuroinformatics, especially for real-world assistive applications. This study explores a multiclass BCI system designe…
  openalex Paulina Tarara, Iwona Przybył, Julius Schöning, Artur Gunia 2025-08-12 置信度 0.72 Motor imageryBrain–computer interfaceHeadsetComputer scienceElectroencephalography
• High‐Precision, Low‐Threshold Neuromodulation With Ultraflexible Electrode Arrays for Brain‐to‐Brain Interfaces
  Neuromodulation is crucial for advancing neuroscience and treating neurological disorders. However, traditional methods using rigid electrodes have been limited by large stimulating currents, low precision, and the risk of tissue damage. In this work, we devel…
  openalex Yifei Ye, Ye Tian, Haifeng Liu, Jiaxuan Liu 等 2025-04-17 置信度 0.72 NeuromodulationNeuroscienceElectrodeComputer sciencePsychology
• Analog optical computer for AI inference and combinatorial optimization
  target either AI or optimization workloads and rely on frequent, energy-intensive digital conversions, limiting efficiency. These systems also face application-hardware mismatches, whether handling memory-bottlenecked neural models, mapping real-world optimiza…
  openalex Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James Clegg 等 2025-09-03 置信度 0.72 Computer scienceScalabilityArtificial intelligenceOptimization problemInference
• Review of control strategies for lower-limb exoskeletons to assist gait
  BACKGROUND: Many lower-limb exoskeletons have been developed to assist gait, exhibiting a large range of control methods. The goal of this paper is to review and classify these control strategies, that determine how these devices interact with the user. METHOD…
  openalex Romain Baud, Ali Reza Manzoori, Auke Jan Ijspeert, Mohamed Bouri 2021-07-27 置信度 0.72 ExoskeletonGaitTorqueComputer scienceController (irrigation)
• Hierarchical attention enhanced deep learning achieves high precision motor imagery classification in brain computer interfaces
  Motor imagery-based Brain-Computer Interfaces (BCIs) hold transformative potential for individuals with severe motor impairments, yet their clinical deployment remains constrained by the inherent complexity of electroencephalographic (EEG) signal decoding. Thi…
  pubmed Zhe Chen, Ye Cao, Qiushi Fu, Liyang Hou 等 2025 Oct 3 置信度 0.82 Computer scienceMotor imageryArtificial intelligenceDeep learningBrain–computer interface
• Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems
  The goal of this research was to evaluate and compare three types of brain computer interface (BCI) systems, P300, steady state visually evoked potentials (SSVEP) and Hybrid as virtual spelling paradigms. Hybrid BCI is an innovative approach to combine the P30…
  openalex Ali Haider 2018-01-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)SIGNAL (programming language)Signal processing
• A Shared Vision for Machine Learning in Neuroscience
  With ever-increasing advancements in technology, neuroscientists are able to collect data in greater volumes and with finer resolution. The bottleneck in understanding how the brain works is consequently shifting away from the amount and type of data we can co…
  openalex Mai-Anh Vu, Tülay Adalı, Demba Ba, György Buzsáki 等 2018-01-26 置信度 0.72 Human Connectome ProjectData scienceBig dataBottleneckNeuroinformatics
• Toward brain-computer interface speller with movement-related cortical potentials as control signals
  Brain Computer Interface spellers offer a promising alternative for individuals with Amyotrophic Lateral Sclerosis (ALS) by facilitating communication without relying on muscle activity. This study assessed the feasibility of using movement related cortical po…
  openalex José Jesús Hernández-Gloria, Andres Jaramillo-Gonzalez, Andrej M. Savić, Natalie Mrachacz‐Kersting 2025-04-02 置信度 0.72 Brain–computer interfaceInterface (matter)Movement controlNeuroscienceMovement (music)
• Improvements in Software Verification and Witness Validation: SV-COMP 2025
  Abstract The 14th edition of the Competition on Software Verification (SV-COMP 2025) evaluated 62 verification tools and 18 witness validation tools, making it the largest comparison of its kind so far. Out of these, 35 verification and 13 validation tools par…
  openalex Dirk Beyer, Jan Strejček 2025-01-01 置信度 0.72 Computer scienceWitnessSoftware verificationSoftware engineeringSoftware
• Bacteria invade the brain following intracortical microelectrode implantation, inducing gut-brain axis disruption and contributing to reduced microelectrode performance
  Brain-machine interface performance can be affected by neuroinflammatory responses due to blood-brain barrier (BBB) damage following intracortical microelectrode implantation. Recent findings suggest that certain gut bacterial constituents might enter the brai…
  openalex George F. Hoeferlin, Sarah E. Grabinski, Lindsey N. Druschel, Jonathan L. Duncan 等 2025-02-20 置信度 0.72 MicroelectrodeNeuroscienceBacteriaGut–brain axisBiology
• Brain morphology, autistic traits, and polygenic risk for autism: A p opulation‐based neuroimaging study
  Autism spectrum disorders (ASD) are associated with widespread brain alterations. Previous research in our group linked autistic traits with altered gyrification, but without pronounced differences in cortical thickness. Herein, we aim to replicate and extend …
  openalex Silvia Alemany, Elisabet Blok, Philip R. Jansen, Ryan L. Muetzel 等 2021-07-26 置信度 0.72 GyrificationAutismAutistic traitsNeuroimagingPsychology
• Investigating the Single Trial Detectability of Cognitive Face Processing by a Passive Brain-Computer Interface
  An automated recognition of faces enables machines to visually identify a person and to gain access to non-verbal communication, including mimicry. Different approaches in lab settings or controlled realistic environments provided evidence that automated face …
  openalex Rebecca Pham Xuan, Lena M. Andreessen, Thorsten O. Zander 2022-04-08 置信度 0.72 Computer scienceHuman–computer interactionMimicryInterface (matter)Context (archaeology)
• Toward Ethical and Transparent Brain-Computer Interfaces: Challenges and Perspectives in EEG-Based AI
  The convergence of electroencephalography (EEG) and artificial intelligence (AI) has transformed brain-computer interfaces (BCI) from experimental medical devices into potential consumer technologies, raising unprecedented ethical challenges. This chapter anal…
  openalex Badr Mouazen, Zainab El Bouyed 2025-12-11 置信度 0.72 Transparency (behavior)DignityEngineering ethicsInformed consentEthical issues
• Quantum Brain Networks: A Perspective
  We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integrating knowledge and methods from neurotechnology, artificial intelligence, and quantum computing. The objective is to develop an enhanced connectivity between the human brain an…
  openalex Eduardo Reck Miranda, José D. Martín‐Guerrero, Satvik Venkatesh, Carlos Hernani‐Morales 等 2022-05-11 置信度 0.72 Quantum computerComputer scienceField (mathematics)Perspective (graphical)Variety (cybernetics)
• Astrocytic cannabinoid receptor 1 promotes resilience by dampening stress-induced blood–brain barrier alterations
  Blood-brain barrier (BBB) alterations contribute to stress vulnerability and the development of depressive behaviors. In contrast, neurovascular adaptations underlying stress resilience remain unclear. Here we report that high expression of astrocytic cannabin…
  openalex Katarzyna Dudek, Sam E.J. Paton, Luisa Bandeira Binder, Adeline Collignon 等 2025-02-27 置信度 0.72 NeuroscienceCannabinoid receptorCannabinoidBlood–brain barrierResilience (materials science)
• The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next‐Generation Biomedicine
  The dominant paradigm in biomedicine focuses on genetically-specified components of cells and their biochemical dynamics, emphasizing bottom-up emergence of complexity. Here, I explore the biomedical implications of a complementary emerging field: diverse inte…
  openalex Michael Levin 2024-12-02 置信度 0.72 BiomedicineCognitive scienceInterface (matter)Computer scienceCognition
• Obesity in Childhood and Adolescence: a review in the interface between adipocyte physiology and clinical challenges
  openalex Antje Körner, Susann Blüher, Thomas Kapellen, A Garten 等 2005-10-15 置信度 0.72 AdipokineResistinAdiponectinObesityAdipose tissue
• Towards real time efficient and robust ECoG decoding for mobile brain–computer interface
  Abstract Objective. Decoding locomotion-related brain activities from electrocorticographic (ECoG) signals is essential in brain–computer interfaces (BCIs). Most previous ECoG decoders are computationally demanding and sensitive to noises/outliers. Mobile and …
  openalex Zikai Lin, Xinyu Jiang, Chenyun Dai, Fumin Jia 2025-06-27 置信度 0.72 Computer scienceDecoding methodsBrain–computer interfaceRobustness (evolution)Artificial intelligence
• Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0
  The number of devices on the Internet exceeded the number of people on the Internet in 2008, and is estimated to reach 50 billion in 2020. A wide-ranging Internet of Things (IOT) ecosystem is emerging to support the process of connecting real-world objects lik…
  openalex Melanie Swan 2012-11-08 置信度 0.72 Computer scienceWearable computerThe InternetInternet of ThingsProcess (computing)
• Interacting with an Inferred World: The Challenge of Machine Learning for Humane Computer Interaction
  Classic theories of user interaction have been framed in relation to symbolic models of planning and problem solving, responding in part to the cognitive theories associated with AI research. However, the behavior of modern machine-learning systems is determin…
  openalex Alan F. Blackwell 2015-10-05 置信度 0.72 Class (philosophy)InferenceComputer scienceRelation (database)Artificial intelligence
• Convolutional neural networks for cytoarchitectonic brain mapping at large scale
  Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic principle of the microstructural organization of the brain, as regional differences …
  openalex Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger 等 2021-07-02 置信度 0.72 WorkflowComputer scienceCytoarchitectureConvolutional neural networkArtificial intelligence
• Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
  Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive information, such as better contrast and clarity, than any alternative scanning proces…
  openalex K. Divya Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini 等 2025-01-03 置信度 0.72 Artificial intelligenceComputer scienceSegmentationConvolutional neural networkDeep learning
• Wearables in Medicine
  Wearables as medical technologies are becoming an integral part of personal analytics, measuring physical status, recording physiological parameters, or informing schedule for medication. These continuously evolving technology platforms do not only promise to …
  openalex Ali K. Yetisen, J. L. Martínez-Hurtado, Barış Ünal, Ali Khademhosseini 等 2018-06-11 置信度 0.72 Wearable computerWearable technologyElectronicsComputer scienceNanotechnology
• UAV Target Detection and Tracking Integrating a Dynamic Brain–Computer Interface
  To address the inherent limitations in the robustness of fully autonomous unmanned aerial vehicle (UAV) visual perception and the high cognitive workload associated with manual control, this paper proposes a human-in-the-loop brain–computer interface (BCI) con…
  openalex Jun Wang, Z.S. Li, Lirong Yan, Muhammad Imtiaz 等 2026-03-21 置信度 0.72 Computer scienceArtificial intelligenceRobustness (evolution)Computer visionEye tracking
• Evaluation of Cognitive Decline Using Electroencephalograph Beta/Alpha Ratio During Brain-Computer Interface Tasks
  Japan is currently witnessing an increase in the number of individuals with dementia. According to a survey, there were 4.62 million people with dementia in Japan in 2012 and more than 7 million in 2025. The early detection of dementia is crucial to delay the …
  openalex Yuri Nishizawa, Hisaya TANAKA, Raita Fukasawa, Kentaro HIRAO 等 2021-01-01 置信度 0.72 DementiaElectroencephalographyAudiologyAlpha waveCognition
• Deep learning-driven brain tumor classification and segmentation using non-contrast MRI
  This study aims to enhance the accuracy and efficiency of MRI-based brain tumor diagnosis by leveraging deep learning (DL) techniques applied to multichannel MRI inputs. MRI data were collected from 203 subjects, including 100 normal cases and 103 cases with 1…
  openalex Nan‐Han Lu, Yung-Hui Huang, Kuo‐Ying Liu, Tai‐Been Chen 2025-07-30 置信度 0.72 Contrast (vision)SegmentationArtificial intelligenceComputer scienceMagnetic resonance imaging
• Assistive technology interfaces for the blind
  Assistive technology devices for the blind are portable electronic devices that are either hand-held or worn by the visually impaired user, to warn of obstacles ahead. Many assistive technology devices use ultrasonic pulse-echo techniques to gauge subject to o…
  openalex David Calder 2009-06-01 置信度 0.72 Computer scienceObstacleInterface (matter)Human–computer interactionOrientation (vector space)
• 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
• Advancing brain-computer interfaces with generative AI: A review of state-of-the-art and future outlook
  Brain-Computer Interface (BCI) technology is rapidly emerging as a promising tool to empower individuals with severe disabilities and enhance their independence by translating brain neural signals into actionable commands. However, its development and applicat…
  openalex Su Young Han, Shanshan Feng, Fan Li 2026-01-01 置信度 0.72 Computer scienceOverfittingGenerative grammarBrain–computer interfaceArtificial intelligence
• Flexible graphene-based neurotechnology for high-precision deep brain mapping and neuromodulation in Parkinsonian rats
  Deep brain stimulation (DBS) is a neuroelectronic therapy for the treatment of a broad range of neurological disorders, including Parkinson's disease. Current DBS technologies face important limitations, such as large electrode size, invasiveness, and lack of …
  openalex Nicola Ria, Ahmed Eladly, Eduard Masvidal‐Codina, Xavi Illa 等 2025-03-25 置信度 0.72 Deep brain stimulationNeuromodulationSubthalamic nucleusNeuroscienceGraphene
• Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
  How related are the representations learned by neural language models,\ntranslation models, and language tagging tasks? We answer this question by\nadapting an encoder-decoder transfer learning method from computer vision to\ninvestigate the structure among 10…
  openalex Richard Antonello, Javier S. Turek, Vy A. Vo, Alexander G. Huth 2021-06-09 置信度 0.72 Computer scienceNatural language processingArtificial intelligenceRepresentation (politics)Feature (linguistics)
• Dynamic Joint Domain Adaptation Network for Motor Imagery Classification
  Electroencephalogram (EEG) has been widely used in brain computer interface (BCI) due to its convenience and reliability. The EEG-based BCI applications are majorly limited by the time-consuming calibration procedure for discriminative feature representation a…
  openalex Xiaolin Hong, Qingqing Zheng, Luyan Liu, Peiyin Chen 等 2021-01-01 置信度 0.72 Computer scienceDiscriminatorDiscriminative modelMotor imageryBrain–computer interface
• Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review
  Traumatic brain injury (TBI) is a leading cause of disability and death globally, presenting significant challenges for diagnosis, prognosis, and treatment. As healthcare technology advances, artificial intelligence (AI) has emerged as a promising tool in enha…
  openalex Seun Orenuga, Philip Jordache, Daniel A. Mirzai, Tyler Monteros 等 2025-03-07 置信度 0.72 NeurorehabilitationRehabilitationTraumatic brain injuryNeuroimagingMedicine
• Effects of Deep Brain Stimulation on Postural Trunk Deformities: A Systematic Review
  BACKGROUND: Deep brain stimulation (DBS) effects on postural deformities are still poorly explored. METHODS: Systematic review in accord with the Preferred Reporting Items for Systematic review and Meta-Analysis guidelines (PRISMA). RESULTS: All 38 studies tha…
  openalex Karlo J. Lizárraga, Alfonso Fasano 2019-08-09 置信度 0.72 Deep brain stimulationMedicineParkinson's diseaseDystoniaTrunk
• The Road Towards 6G: A Comprehensive Survey
  As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generat…
  openalex Wei Jiang, Bin Han, Mohammad Asif Habibi, Hans Dieter Schotten 2021-01-01 置信度 0.72 Key (lock)Set (abstract data type)TelecommunicationsOpen researchComputer science
• Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
  The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data. However, the effective construction of HDTs faces significant challenges due to…
  openalex Chen Shang, Jiadong Yu, Dinh Thai Hoang 2026-05-14 置信度 0.72 Neuromorphic engineeringBrain–computer interfaceInterface (matter)Computer scienceHuman–computer interaction
• Neural–Computer Interfaces: Theory, Practice, Perspectives
  This review outlines the technological principles of neural–computer interface (NCI) construction, classifying them according to: (1) the degree of intervention (invasive, semi-invasive, and non-invasive); (2) the direction of signal communication, including B…
  openalex Ignat A. Dubynin, M. S. Zemlyanskov, Irina Shalayeva, Oleg Gorskii 等 2025-08-12 置信度 0.72 Computer scienceHuman–computer interactionCognitive sciencePsychology
• Gamma entrainment induced by deep brain stimulation as a biomarker for motor improvement with neuromodulation
  Finely tuned gamma (FTG) oscillations from the subthalamic nucleus (STN) and cortex in Parkinson's disease (PD) patients undergoing deep brain stimulation (DBS) are often associated with dyskinesia. Recently it was shown that DBS entrains gamma activity at 1:2…
  openalex Varvara Mathiopoulou, Jeroen Habets, Lucia K. Feldmann, Johannes L. Busch 等 2025-03-26 置信度 0.72 Deep brain stimulationEntrainment (biomusicology)DyskinesiaParkinson's diseaseStimulation
• Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
  The fundamental goal of Information Retrieval (IR) systems lies in their capacity to effectively satisfy human information needs -a challenge that encompasses not just the technical delivery of information, but the nuanced understanding of human cognition duri…
  openalex Yashar Moshfeghi, Niall McGuire 2025-07-13 置信度 0.72 Computer scienceInformation retrievalHuman–computer interactionData science
• Finite Element Method-Based Modeling of a Novel Square Photonic Crystal Fiber Surface Plasmon Resonance Sensor with a Au–TiO2 Interface and the Relevance of Artificial Intelligence Techniques in Sensor Optimization
  This research presents a novel square-shaped photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor, designed using the external metal deposition (EMD) technique, for highly sensitive refractive index (RI) sensing applications. The proposed …
  openalex Ayushman Ramola, Amit Kumar Shakya, Arik Bergman 2025-06-04 置信度 0.72 Interface (matter)Surface plasmon resonanceMaterials sciencePhotonic-crystal fiberSquare (algebra)
• Special issue on brain–computer interfaces: highlighting research from the 10th International Brain–Computer Interface Meeting
  based vision processing algorithm in a secondgeneration suprachoroidal retinal prosthesis
  openalex Jennifer L. Collinger, Mariska J. Vansteensel, Natalie Mrachacz‐Kersting, Donatella Mattia 等 2025-04-09 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionCognitive science
• HEFMI-ICH: a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in intracerebral hemorrhage
  This study introduces the first hybrid brain-computer interface dataset specifically designed for research on intracerebral hemorrhage (ICH) rehabilitation. It offers a novel data source through the synchronized acquisition of electroencephalogram (EEG) and fu…
  openalex Jian Shi, Danyang Chen, Xingwei Zhao, Zhixian Zhao 等 2025-11-18 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Motor imageryIntracerebral hemorrhage
• Brain-computer interface training for motor recovery after stroke
  RATIONALE: Stroke is one of the leading causes of death and disability worldwide. Motor dysfunction is a highly prevalent and disabling consequence of stroke. Brain-computer interface (BCI) training has emerged as a promising neurorehabilitative strategy that …
  openalex Qin Yu, Meixuan Li, Yanfei Li, M Ma 等 2022-06-09 置信度 0.72 Brain–computer interfaceTraining (meteorology)Interface (matter)Physical medicine and rehabilitationComputer science
• Printed sensing human-machine interface with individualized adaptive machine learning
  Developing intelligent robots with integrated sensing capabilities is critical for advanced manufacturing, medical robots, and embodied intelligence. Existing robotic sensing technologies are limited to recording of acceleration, driving torque, pressure feedb…
  openalex Guohui Wang, Yao Tang, Xinran Luo, Shengdi Lu 等 2025-09-10 置信度 0.72 Computer scienceGestureArtificial intelligenceRobotHuman–computer interaction
• CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data
  Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and disease at the level of single cells. M…
  openalex CZI Cell Science Program, Shibla Abdulla, Brian D. Aevermann, Pedro Assis 等 2024-11-01 置信度 0.72 BiologyComputational biologyScalabilityData explorationVisualization
• Systematic review: progress in EEG-based speech imagery brain-computer interface decoding and encoding research
  This article systematically reviews the latest developments in electroencephalogram (EEG)-based speech imagery brain-computer interface (SI-BCI). It explores the brain connectivity of SI-BCI and reveals its key role in neural encoding and decoding. It analyzes…
  pubmed Ke Su, Tian Liang, Su K, Tian L 2025 置信度 0.82 Decoding methodsBrain–computer interfaceElectroencephalographyInterface (matter)Encoding (memory)
• Weighted Filter Bank and Regularization Common Spatial Pattern-Based Decoding Algorithm for Brain-Computer Interfaces
  In the field of brain–computer interfaces (BCI), the decoding of motor imagery EEG signals is significantly hindered by individual differences in EEG signals, which limits the generalization ability of decoding models. To address this challenge, this study pro…
  openalex Jincai Ye, Jiajie Zhu, Shoulin Huang 2025-05-06 置信度 0.72 Computer scienceAlgorithmDecoding methodsRegularization (linguistics)Artificial intelligence
• Automated Scoring of Figural Tests of Creativity with Computer Vision
  ABSTRACT In this three‐study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking‐Figural (broadly TTCT‐F) as well as the Multi‐Trial Creative Ideation task (MTC…
  openalex Selçuk Acar, Peter Organisciak, Denis Dumas 2024-06-17 置信度 0.72 CreativityArtificial intelligencePsychologyCognitive psychologyComputer science
• Does brain activity cause consciousness? A thought experiment
  Rapid advances in neuroscience have provided remarkable breakthroughs in understanding the brain on many fronts. Although promising, the role of these advancements in solving the problem of consciousness is still unclear. Based on technologies conceivably with…
  openalex Albert Gidon, Jaan Aru, Matthew E. Larkum 2022-06-10 置信度 0.72 ConsciousnessNeuroscienceAction (physics)Cognitive sciencePerspective (graphical)
• Regional heterogeneity of the blood-brain barrier
  The blood-brain barrier (BBB), formed by specialized endothelial cells (ECs), regulates the extracellular composition of the central nervous system (CNS). Little is known about whether there are regional specializations of the BBB that may control the function…
  openalex Marie Blanchette, Kaja Bajc, Benjamin D. Gastfriend, Caterina P. Profaci 等 2025-08-08 置信度 0.72 StriatumNeuroscienceBiologyCentral nervous systemNucleus accumbens
• Monitoring of Electrophysiological Functions in Brain‐on‐a‐Chip and Brain Organoids
  Though animal models are still the gold standard for fundamental biological studies and drug evaluation for brain diseases, concerns arise from an apparent lack of reflecting the human genetics and pathophysiology. Recently, human avatars such as brain‐on‐a‐ch…
  openalex Jiyoung Song, Hoon Eui Jeong, Angela Haeun Choi, Hong Nam Kim 2024-07-23 置信度 0.72 OrganoidElectrophysiologyNeuroscienceChipComputer science
• Deep Learning‐Based Techniques in Glioma Brain Tumor Segmentation Using Multi‐Parametric MRI : A Review on Clinical Applications and Future Outlooks
  This comprehensive review explores the role of deep learning (DL) in glioma segmentation using multiparametric magnetic resonance imaging (MRI) data. The study surveys advanced techniques such as multiparametric MRI for capturing the complex nature of gliomas.…
  openalex Delaram J. Ghadimi, Amir Mohammad Vahdani, Hanie Karimi, Pouya Ebrahimi 等 2024-07-29 置信度 0.72 GliomaSegmentationComputer scienceDeep learningParametric statistics
• Development of an advanced multimode refractive index plasmonic optical sensor utilizing split ring resonators for brain cancer cell detection
  In this paper, we propose and theoretically investigate a novel multimode refractive index (MMRI) plasmonic optical sensor for detecting various brain cancer cells, leveraging the unique capabilities of split ring resonators (SRRs). The sensor, simulated using…
  openalex Ali Khodaie, Hamid Heidarzadeh, Farrokhfar Valizadeh Harzand 2025-01-02 置信度 0.72 ResonatorFigure of meritMulti-mode optical fiberRefractive indexMaterials science
• Flexible Patched Brain Transformer model for EEG decoding
  Decoding the human brain using non-invasive methods is a significant challenge. This study aims to enhance electroencephalography (EEG) decoding by developing of machine learning methods. Specifically, we propose the novel, attention-based Patched Brain Transf…
  openalex Timon Klein, Piotr Minakowski, Sebastian Säger 2025-03-29 置信度 0.72 Computer scienceDecoding methodsElectroencephalographyTransformerArtificial intelligence
• Cyber-physical Machine Tool – The Era of Machine Tool 4.0
  In the past five years, several industrial initiatives such as “Industry 4.0”, “Industrial Internet of Things”, “Factories of the Future” and “Made in China 2025”, have been announced by different governments and industrial leaders. These initiatives lead to a…
  openalex Chao Liu, Xun Xu 2017-01-01 置信度 0.72 Cyber-physical systemMachine toolEngineeringComputer scienceSystems engineering
• Disorders of consciousness diagnosis, interventions, and prognostication for the intensivist: Report of the 2025 ISICEM roundtable
  Disorders of consciousness (DoC) represent a spectrum of clinical conditions, including coma, unresponsive wakefulness syndrome, and the minimally conscious state, which may result from structural and non-structural brain injuries due to trauma, stroke, anoxia…
  openalex Yelena G. Bodien, Katharina M. Busl, Cherylee W. J. Chang, Jan Claassen 等 2025-12-15 置信度 0.72 MedicinePain medicinePersistent vegetative stateConsciousnessAnesthesiology
• Magneto‐Optogenetic Deep‐Brain Multimodal Neurostimulation
  Electrical neurostimulation has been used successfully as a technique in both research and clinical contexts for over a century. Despite significant progress, inherent problems remain, hence there has been a drive for novel neurostimulation modalities includin…
  openalex Finlay Walton, Eve McGlynn, Rupam Das, Hongze Zhong 等 2021-10-23 置信度 0.72 OptogeneticsNeurostimulationNeuroscienceStimulus (psychology)Stimulation
• Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions
  In this paper, we present a survey of recent works in developing neuromorphic or neuro-inspired hardware systems. In particular, we focus on those systems which can either learn from data in an unsupervised or online supervised manner. We present algorithms an…
  openalex Arindam Basu, Jyotibdha Acharya, Tanay Karnik, Huichu Liu 等 2018-03-01 置信度 0.72 Neuromorphic engineeringMemristorComputer scienceCMOSComputer architecture
• Synergizing Brain-Computer Interfaces and AI-Driven Image Segmentation for Precision Neurosurgery
  BCI and AI-driven image segmentation are revolutionizing precision neurosurgery by enhancing surgical accuracy, reducing human error, and improving patient outcomes. This review explores the integration of AI techniques, particularly DL and CNNs, with neuroima…
  openalex Sayantan Ghosh, Padmanabhan Sindhujaa, Dinesh Kumar Kesavan, Balázs Gulyás 等 2025-03-31 置信度 0.72 Computer scienceSegmentationNeurosurgeryArtificial intelligenceComputer vision
• Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
  The timely and accurate detection of brain tumors is crucial for effective medical intervention, especially in resource-constrained settings. This study proposes a lightweight and efficient RetinaNet variant tailored for medical edge device deployment. The mod…
  openalex Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev 等 2025-01-13 置信度 0.72 Computer scienceRobustness (evolution)Software deploymentEdge deviceEdge computing
• The Problem of the Century: Brain Rot
  The term “brain rot” has gained prominence recently, particularly in 2024, when it was named Oxford’s Word of the Year. This study aims to reveal the causes of brain decay, the problem people face today The method of the research is systematic compilation (met…
  openalex Ayşe Müge Yazgan 2025-03-25 置信度 0.72 Environmental science
• Task by stimulus interactions in brain responses during Chinese character processing
  openalex Jianfeng Yang, Xiaojuan Wang, Hua Shu, Jason D. Zevin 2012-01-10 置信度 0.72 Stimulus (psychology)Lexical decision taskPsychologyReading aloudCognitive psychology
• Deep learning in the construction industry: A review of present status and future innovations
  The construction industry is known to be overwhelmed with resource planning, risk management and logistic challenges which often result in design defects, project delivery delays, cost overruns and contractual disputes. These challenges have instigated researc…
  openalex Taofeek Akinosho, Lukumon O. Oyedele, Muhammad Bilal, Anuoluwapo Ajayi 等 2020-09-18 置信度 0.72 Deep learningPublicityArtificial intelligenceBest practiceComputer science
• Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces
  Functional Magnetic Resonance Imaging (fMRI) data is commonly used to map sensorimotor cortical organization and to localise electrode target sites for implanted Brain-Computer Interfaces (BCIs). Functional data recorded during motor and somatosensory tasks fr…
  openalex Magnus S Bom, Annette M A Brak, Mathijs Raemaekers, Nick F. Ramsey 等 2025-05-16 置信度 0.72 Brain–computer interfaceComputer scienceScale (ratio)Motor imageryNeuroinformatics
• Glossary of Computer‐Assisted Implant Surgery and Related Terms. First Edition
  The rapid development of computer-assisted implant surgery (CAIS) and the respective research and clinical applications have necessitated a standardization of the terminology related not only to different devices, but also the different steps involved, surgica…
  openalex Adrià Jorba‐García, Alessandro Pozzi, Zhuofan Chen, James Chow 等 2025-07-06 置信度 0.72 GlossaryStandardizationTerminologyAmbiguityComputer science
• Human Brain Atlases in Stroke Management
  Stroke is a leading cause of death and a major cause of permanent disability. Its management is demanding because of variety of protocols, imaging modalities, pulse sequences, hemodynamic maps, criteria for treatment, and time constraints to promptly evaluate …
  openalex Wiesław L. Nowinski 2020-04-14 置信度 0.72 Atlas (anatomy)Stroke (engine)Brain atlasMedicineThrombolysis
• Current status and future prospects of brain–computer interfaces in the field of neurological disease rehabilitation
  Neurological disorders represent a significant category of diseases that profoundly affect human health, accounting for the second leading cause of global mortality. This group of conditions includes stroke, multiple sclerosis (MS), amyotrophic lateral scleros…
  europepmc Yu Luo, Xiaohu Liu, Miaomiao Yang 2026 置信度 0.80 Brain–computer interfaceContext (archaeology)Amyotrophic lateral sclerosisMedicinePhysical medicine and rehabilitation
• Functional Near-Infrared Spectroscopy as a Personalized Digital Healthcare Tool for Brain Monitoring
  The sustained growth of digital healthcare in the field of neurology relies on portable and cost-effective brain monitoring tools that can accurately monitor brain function in real time. Functional near-infrared spectroscopy (fNIRS) is one such tool that has b…
  openalex Zephaniah Phillips, Raymart Jay Canoy, Seung-ho Paik, Seung Hyun Lee 等 2023-01-01 置信度 0.72 Functional near-infrared spectroscopyModalitiesHealth careBrain stimulationComputer science
• A novel robot-assisted method for implanting intracortical sensorimotor devices for brain-computer interface studies: principles, surgical techniques, and challenges
  Precise anatomical implantation of a microelectrode array is fundamental for successful brain-computer interface (BCI) surgery, ensuring high-quality, robust signal communication between the brain and the computer interface. Robotic neurosurgery can contribute…
  pubmed Naoki Ikegaya, Arka N. Mallela, Peter C. Warnke, Nicolas G. Kunigk 等 2024-12-06 置信度 0.82 Brain–computer interfaceMedicineNeurosurgeryNeuroprostheticsTetraplegia
• Enhanced MRI-based brain tumour classification with a novel Pix2pix generative adversarial network augmentation framework
  The scarcity of medical imaging datasets and privacy concerns pose significant challenges in artificial intelligence-based disease prediction. This poses major concerns to patient confidentiality as there are now tools capable of extracting patient information…
  openalex Efe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, İlker Özşahin 2024-01-01 置信度 0.72 Generative grammarAdversarial systemComputer scienceNeuroimagingCognitive science
• From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting
  Journalism is at a radical point of change that requires organizations to come up with new ideas and formats for news reporting. Additionally, the notable surge of data, sensors and technological advances in the mobile segment has brought immeasurable benefits…
  openalex Mathias‐Felipe de‐Lima‐Santos, Ramón Salaverría 2021-11-04 置信度 0.72 JournalismBig dataNewspaperProcess (computing)Computer science
• A wireless device for continuous measurement of brain parenchymal resistance tracks glymphatic function in humans
  Glymphatic function in animal models supports the clearance of brain proteins whose mis-aggregation is implicated in neurodegenerative conditions including Alzheimer's and Parkinson's disease. The measurement of glymphatic function in the human brain has been …
  openalex Paul Dagum, Laurent Giovangrandi, Swati Rane Levendovszky, Jake J. Winebaum 等 2025-05-27 置信度 0.72 Glymphatic systemParenchymaFunction (biology)Brain functionComputer science
• Advancing data protections for implantable brain-computer interfaces
  Implantable brain-computer interfaces (iBCIs) are rapidly transitioning from proof-of-concept devices to early clinical application. The high-resolution neural signals they capture may yield insights beyond those derived from conventional health data. In this …
  pubmed Julian D. Sandbrink, Michael J. Young, Sandbrink JD, Young MJ 2026 Jul 27 置信度 0.82 Health Insurance Portability and Accountability ActInternet privacyAccountabilityAutonomyData Protection Act 1998
• A claudin5-binding peptide enhances the permeability of the blood-brain barrier in vitro
  The blood-brain barrier (BBB) maintains brain homeostasis but also prevents most drugs from entering the brain. No paracellular diffusion of solutes is allowed because of tight junctions that are made impermeable by the expression of claudin5 (CLDN5) by brain …
  openalex Martina Trevisani, Alessandro Berselli, Giulio Alberini, Eleonora Centonze 等 2025-01-10 置信度 0.72 Blood–brain barrierParacellular transportTight junctionIn vitroClaudin
• Computer vision detects covert voluntary facial movements in unresponsive brain injury patients
  BACKGROUND: Many brain injury patients who appear unresponsive retain subtle, purposeful motor behaviors, signaling capacity for recovery. We hypothesized that low-amplitude movements precede larger-amplitude voluntary movements detectable by clinicians after …
  openalex Xi Cheng, Sujith Swarna, Jermaine Robertson, Nathaniel A. Cleri 等 2025-08-20 置信度 0.72 MedicinePhysical medicine and rehabilitationEye movementGlasgow Coma ScaleMinimally conscious state
• Novel interfaces for internet of wearable electrochemical sensors
  The integration of wearable devices, the Internet of Things (IoT), and advanced sensing platforms implies a significant paradigm shift in technological innovations and human interactions. The IoT technology allows continuous monitoring in real time. Thus, Inte…
  openalex Suniya Shahzad, Faiza Jan Iftikhar, Afzal Shah, Hassan Abdur Rehman 等 2024-01-01 置信度 0.72 Wearable computerInternet of ThingsHuman–computer interactionWearable technologyThe Internet
• A Survey of Large Language Models
  Abstract The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications. Distinguished from their predecessors by unprecedented scale and advan…
  openalex Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang 等 2026-05-09 置信度 0.72 Language modelComputer scienceMainstreamScale (ratio)Artificial intelligence
• Development and evaluation of a non-invasive brain-spine interface using transcutaneous spinal cord stimulation
  Motor rehabilitation is a therapeutic process to facilitate functional recovery in people with spinal cord injury (SCI). However, its efficacy is limited to areas with remaining sensorimotor function. Spinal cord stimulation (SCS) creates a temporary prostheti…
  openalex C. Scott Atkinson, Lorenzo Lombardi, Meredith Lang, Rodolfo Keesey 等 2025-04-25 置信度 0.72 Spinal cordMedicineNeurologyPhysical medicine and rehabilitationNeuroscience
• Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges
  Artificial neurons and synapses are considered essential for the progress of the future brain-inspired computing, based on beyond von Neumann architectures. Here, a discussion on the common electrochemical fundamentals of biological and artificial cells is pro…
  openalex Shaochuan Chen, Teng Zhang, Stefan Tappertzhofen, Yuchao Yang 等 2023-05-18 置信度 0.72 MemristorArtificial neural networkNanotechnologyComputer scienceVon Neumann architecture
• Artificial Intelligence trends in education: a narrative overview
  Digital technologies have already become an internal part of our life. They change the way we are looking for information, how we communicate with each other, even how we behave. This transformation applies to many areas, including education. The main objectiv…
  openalex Maud Chassignol, А В Хорошавин, Alexandra Klímová, Anna Bilyatdinova 2018-01-01 置信度 0.72 Computer scienceProcess (computing)NarrativeDigital transformationSubject (documents)
• ResSAXU-Net for multimodal brain tumor segmentation from brain MRI
  Glioma, the most common brain tumour, carries the highest risk of death. Successful treatment planning and the accurate diagnosis of glioma depend heavily on magnetic resonance imaging (MRI). Classification of brain tumours from MR data should be automated for…
  openalex Zheyuan Xiong 2025-07-07 置信度 0.72 Computer scienceBrain tumorSegmentationMagnetic resonance imagingArtificial intelligence
• Being Guided by Your Brain or by Your Heart? Challenges in Adaptive Deep Brain Stimulation
  A recurring and fundamental question in life, whether to follow the heart or the brain, is now becoming a real consideration for movement disorders patients undergoing novel and personalized treatment regimes. Adaptive deep brain stimulation (aDBS) adjusts sti…
  openalex Mário Sousa, Gerd Tinkhauser 2025-08-28 置信度 0.72 Deep brain stimulationNeurophysiologyBrain stimulationMedicineRhythm
• A Dense Long Short‐Term Memory Model for Enhancing the Imagery‐Based Brain‐Computer Interface
  Imagery‐based brain‐computer interfaces (BCIs) aim to decode different neural activities into control signals by identifying and classifying various natural commands from electroencephalogram (EEG) patterns and then control corresponding equipment. However, se…
  openalex Xiaofei Zhang, Tao Wang, Qi Xiong, Yina Guo 2021-01-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Process (computing)Artificial intelligence
• What do faculty members know about universal design and digital accessibility? A qualitative study in computer science and engineering disciplines
  Abstract Purpose Students in higher education are a diverse group comprising people with different backgrounds and abilities. Regulations require that digital learning materials and platforms employed in higher education accommodate this diversity. Furthermore…
  openalex Norun Christine Sanderson, Siri Kessel, Weiqin Chen 2022-03-29 置信度 0.72 Thematic analysisDiversity (politics)LegislationQualitative researchHigher education
• Educating the Net Generation
  This is a book for educators.Those who have chosen to be educators are generally dedicated to students.But, sometimes we don't quite understand what we are seeing.We hope this book will help educators make sense of the many patterns and behaviors that we see i…
  openalex Diana G. Oblinger, J.L. Oblinger, Joan K. Lippincott 2005-06-23 置信度 0.72 Net (polyhedron)Environmental scienceMathematicsGeometry
• Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis
  Implantable brain-computer interfaces (BCIs) - positioned at the intersection of neuromedicine and clinical neurorehabilitation - have achieved notable advances in restoring motor function for individuals with paralysis. By using invasive electrodes to directl…
  pubmed Daokai Yang, Xiaogang Liu, Junhang Hu, Wei Zhang 等 2026 置信度 0.82 MedicineMotor functionParalysisPhysical medicine and rehabilitationMotor activity
• What Is the Sense of Agency and Why Does it Matter?
  Sense of agency refers to the feeling of control over actions and their consequences. In this article I summarize what we currently know about sense of agency; looking at how it is measured and what theories there are to explain it. I then explore some of the …
  openalex James W. Moore 2016-08-29 置信度 0.72 Agency (philosophy)Sense of agencyFeelingPsychologySense of control
• Advances in functional magnetic resonance imaging-based brain function mapping: a deep learning perspective
  Functional magnetic resonance imaging (fMRI) provides a powerful tool for studying brain function by capturing neural activity in a non-invasive manner. Mapping brain function from fMRI data enables researchers to investigate the spatial and temporal dynamics …
  openalex Lin Zhao 2025-01-01 置信度 0.72 Perspective (graphical)Brain functionPsychologyDeep learningNeuroscience
• Interpretability of Riemannian Tools Used in Brain Computer Interfaces
  Riemannian methods have established themselves as state-of-the-art approaches in Brain-Computer Interfaces (BCI) in terms of performance. However, their adoption by experimenters is often hindered by a lack of interpretability. In this work, we propose a set o…
  openalex Thibault de Surrel, Tristan Venot, Marie‐Constance Corsi, Florian Yger 2025-08-31 置信度 0.72 InterpretabilityLeverage (statistics)Python (programming language)Computer scienceVisualization
• Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps
  openalex Chiara Robba, Victoria McCredie, Randall M. Chesnut, Giuseppe Citerio 等 2025-06-01 置信度 0.72 Neurointensive careMedicineTraumatic brain injuryIntensive care medicineAnesthesiology
• An overview of chemical additives present in plastics: Migration, release, fate and environmental impact during their use, disposal and recycling
  Over the last 60 years plastics production has increased manifold, owing to their inexpensive, multipurpose, durable and lightweight nature. These characteristics have raised the demand for plastic materials that will continue to grow over the coming years. Ho…
  openalex John N. Hahladakis, Costas A. Velis, Roland Weber, Eleni Iacovidou 等 2017-10-12 置信度 0.72 Waste managementEnvironmental scienceHuman healthPlastic wasteProduction (economics)
• Detection of movement-related cortical potentials associated with upper and low limb movements in patients with multiple sclerosis for brain-computer interfacing
  Abstract Objectives. Brain-computer interface (BCI) training has been shown to be effective for inducing neural plasticity and for improving motor function in stroke patients. BCI training could potentially have a positive effect on people with multiple sclero…
  openalex Mads Jochumsen, Bolette Schramm Petersen, Liane Mikkelsen Vestergaard, Nanna Frost Falborg 等 2025-07-15 置信度 0.72 InterfacingMultiple sclerosisMovement (music)Physical medicine and rehabilitationNeuroscience
• Neuralink’s Brain-Computer Interfaces and the Reshaping of Religious-Psychological Experience
  This research article examines the profound implications of Neuralink’s brain-computer interface (BCI) technology on religious and psychological experiences. As BCIs advance toward direct neural interfacing, they present unprecedented opportunities and challen…
  openalex Khader I. Alkhouri 2025-06-30 置信度 0.72 PsychologyCognitive science
• The Effects of Information Layout, Display Mode, and Gender Difference on the User Interface Design of Mobile Shopping Applications
  Online shopping has revolutionized our daily lives in the modern era. We can purchase needed goods on mobile shopping applications (apps) anytime and anywhere without leaving home. Especially during the COVID-19 pandemic, we have become increasingly dependent …
  openalex Chien‐Hsiung Chen, Weimin Zhai 2023-01-01 置信度 0.72 Mode (computer interface)Likert scaleComputer scienceHuman–computer interactionPoint (geometry)
• Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
  Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in security, healthcare…
  openalex Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera 等 2020-01-01 置信度 0.72 Computer scienceDeep learningBenchmarkingArtificial neural networkInference