仿生智能 · 全部实体（第 2 / 100 页）

本页收录第 101–200 条，共 9978 条 · 返回 仿生智能 首页

• Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
  Abstract The Gravity Recovery and Climate Experiment (GRACE) satellite mission and its follow‐on, GRACE‐FO, have provided unprecedented opportunities to quantify the impact of climate extremes and human activities on total water storage at large scales. The ∼1…
  openalex Alexander Y. Sun, Bridget R. Scanlon, Himanshu Save, Ashraf Rateb 2020-12-15 置信度 0.73 WorkflowHyperparameterMachine learningArtificial intelligenceComputer science
• Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
  With the development of robotics technology, there is a growing demand for robots to perform path planning autonomously. Therefore, rapidly and safely planning travel routes has become an important research direction for autonomous mobile robots. This paper el…
  openalex Yuexia Tang, Muhammad Aizzat Zakaria, Muhammad Younas 2025-02-16 置信度 0.80 Motion planningMobile robotPath (computing)RoboticsComputer science
• Active Inference in Robotics and Artificial Agents: Survey and Challenges
  Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning. Recently, it has been shown to be a promising approach to the problems of state-estimation and …
  openalex Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera 等 2021-12-03 置信度 0.82 Artificial intelligenceInferenceRoboticsComputer scienceMachine learning
• Motion Trajectory Estimation for Hand Grasping States Using a Deep Learning Approach
  Predicting the final grasp tendency at the start of movement in prosthetic hands is crucial for improved control. Biological data, such as 3D movement and muscle activity, have been using by researchers to predict the final grasp. Early prediction of the inten…
  openalex Erdem Erdemir, Erkan Kaplanoğlu, Cihan Uyanik, Gazi Akgün 2025-05-27 置信度 0.84 TrajectoryArtificial intelligenceMotion (physics)Computer scienceDeep learning
• Human-artificial interaction in the age of agentic AI: a system-theoretical approach
  This paper presents a novel perspective on human-computer interaction (HCI), framing it as a dynamic interplay between human and computational agents within a networked system. Going beyond traditional interface-based approaches, we emphasize the importance of…
  openalex Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi 2025-05-09 置信度 0.84 Cognitive sciencePsychologyComputer scienceArtificial intelligence
• Interface-type tunable oxygen ion dynamics for physical reservoir computing
  Abstract Reservoir computing can more efficiently be used to solve time-dependent tasks than conventional feedforward network owing to various advantages, such as easy training and low hardware overhead. Physical reservoirs that contain intrinsic nonlinear dyn…
  openalex Zhuohui Liu, Qinghua Zhang, Donggang Xie, Mingzhen Zhang 等 2023-11-07 置信度 0.82 Interface (matter)Computer scienceOxygenIonDynamics (music)
• Validation of system usability scale as a usability metric to evaluate voice user interfaces
  In recent years, user experience (UX) has gained importance in the field of interactive systems. To ensure its success, interactive systems must be evaluated. As most of the standardized evaluation tools are dedicated to graphical user interfaces (GUIs), the e…
  openalex Akshay Madhav Deshmukh, Ricardo Chalmeta 2024-02-29 置信度 0.80 UsabilityComputer scienceHuman–computer interactionMetric (unit)User interface
• Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
  As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristors in various aspects. The concept and s…
  openalex Zhipeng Xia, Xiao Wei Sun, Zhenlong Wang, Jialin Meng 等 2025-04-14 置信度 0.75 MemristorNeuromorphic engineeringComputer scienceElectronic engineeringResistive random-access memory
• Insight into the Digital Health System of Ukraine (eHealth): Trends, Definitions, Standards, and Legislative Revisions
  Purpose: This article aims to provide an in-depth examination of the digital health system of Ukraine, focusing on the emerging trends, precise definitions, established standards, and recent legislative revisions that shape the practice and implementation of e…
  openalex Kyrylo Malakhov 2023-12-12 置信度 0.78 TelemedicineeHealthDigital healthInteroperabilityHealth care
• Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook
  Machine learning (ML) has emerged as a powerful tool in the research field of high entropy compounds (HECs), which have gained worldwide attention due to their vast compositional space and abundant regulatability. However, the complex structure space of HEC po…
  openalex Xuhao Wan, Zeyuan Li, Wei Yu, Anyang Wang 等 2023-09-09 置信度 0.82 Materials scienceNanotechnologyEngineering physicsEntropy (arrow of time)Systems engineering
• Decomposition based neural dynamics for portfolio management with tradeoffs of risks and profits under transaction costs
  Real-time online optimisation plays a crucial role in high-frequency trading (HFT) strategies. The Markowitz model, as a Nobel Prize-winning framework, is widely used for portfolio management optimisation by framing the problem as a constrained quadratic progr…
  openalex Xinwei Cao, Junchao Lou, Bolin Liao, Peng Chen 等 2024-12-28 置信度 0.80 Computer scienceMathematical optimizationSolverPortfolio optimizationPortfolio
• Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions
  Artificial intelligence (AI) drives transformative changes in orthopedic surgery, steering it toward precision and personalization through intelligent applications in preoperative planning, intraoperative assistance, and postoperative rehabilitation/monitoring…
  openalex Fei Han, Xiao Huang, Xin Wang, Yuyu Chen 等 2025-06-25 置信度 0.84 Orthopedic surgeryCurrent (fluid)MedicineMedical physicsEngineering
• A Gravity-Compensated Upper-Limb Exoskeleton for Functional Rehabilitation of the Shoulder Complex
  In the last decade, several exoskeletons for shoulder rehabilitation have been presented in the literature. Most of these devices focus on the shoulder complex and limit the normal mobility of the rest of the body, forcing the patient into a fixed standing or …
  openalex Stefano Buccelli, Federico Tessari, Fausto Fanin, Luca De Guglielmo 等 2022-03-25 置信度 0.82 ExoskeletonWorkspaceRehabilitationPhysical medicine and rehabilitationActivities of daily living
• A lightweight prosthetic hand with 19-DOF dexterity and human-level functions
  A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. He…
  openalex Hao Yang, Zhe Tao, Jian Yang, Wenpeng Ma 等 2025-01-22 置信度 0.84 Computer sciencePhysical medicine and rehabilitationMedicine
• Multimodal Data Fusion for Depression Detection Approach
  Depression is one of the most common mental health disorders in the world, affecting millions of people. Early detection of depression is crucial for effective medical intervention. Multimodal networks can greatly assist in the detection of depression, especia…
  openalex Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova 2025-01-02 置信度 0.84 Depression (economics)Sensor fusionComputer scienceArtificial intelligencePsychology
• Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
  Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing mitigates inherent inefficiencies assoc…
  openalex Yongmin Baek, Byungjoon Bae, Hyo‐Jin Shin, Charana Sonnadara 等 2025-10-01 置信度 0.80 Computer scienceApplications of artificial intelligenceTree traversalEdge computingPerspective (graphical)
• Chalcogenide Ovonic Threshold Switching Selector
  Today's explosion of data urgently requires memory technologies capable of storing large volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane, commonly referred to as three-dimensional phase change memory, stands out as …
  openalex Zihao Zhao, Sergiu Clima, Daniele Garbin, R. Degraeve 等 2024-01-11 置信度 0.75 ChalcogenideMaterials scienceOptoelectronicsChalcogenide glass
• 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 0.80 Humanoid robotTactile perceptionArtificial intelligencePerceptionHuman–computer interaction
• Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling
  Introduction: This study aimed to quantify shoulder muscle synergies during badminton forehand overhead smash (BFOS) via non-negative matrix factorization (NMF), validate musculoskeletal (MSK) models for high-speed movements by comparing electromyography (EMG)…
  openalex Raheleh Tajik, Wissem Dhahbi, Hamed Fadaei, Raghad Mimar 2025-06-03 置信度 0.84 ElectromyographyPhysical medicine and rehabilitationOverhead (engineering)Computer scienceMedicine
• Bio‐Inspired Artificial Fast‐Adaptive and Slow‐Adaptive Mechanoreceptors With Synapse‐Like Functions
  Abstract Development of artificial mechanoreceptors capable of sensing and pre‐processing external mechanical stimuli is a crucial step toward constructing neuromorphic perception systems that can learn and store information. Here, bio‐inspired artificial fast…
  openalex Hung Quang Huynh, Tran Quang Trung, Atanu Bag, T. T. Dieu 等 2023-07-02 置信度 0.78 Neuromorphic engineeringMaterials scienceSynapseTactile sensorPiezoelectricity
• Unmanned aerial vehicle based multi-person detection via deep neural network models
  Introduction: Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes more challenging as the task presents …
  openalex Mohammed Alshehri, Laiba Zahoor, Yahya Alqahtani, Abdulmonem Alshahrani 等 2025-04-17 置信度 0.84 Computer scienceArtificial intelligenceArtificial neural networkDeep learningDeep neural networks
• Securing Neural Interfaces: Architecture, Threat Taxonomy, and Neural Impact Scoring for Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) are transitioning from experimental neuroscience tools to commercially deployed medical devices, with companies including Neuralink, Synchron, Blackrock Neurotech, and Paradromics advancing toward regulatory approval and new en…
  datacite Qi, Kevin L. 2026 置信度 0.79 brain-computer interfacecybersecurityCVSSneural interfacethreat taxonomy
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.72
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.72
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.72
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.68
• VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum
  VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operato…
  datacite Kulik, Dean 2026 置信度 0.68
• VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum
  VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operato…
  datacite Kulik, Dean 2026 置信度 0.68
• The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics
  The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics 1. Introduction: The Isomorphic Imperative in the Nile Valley The prevailing historiography of Ancient Egypt has long suffered from a persis…
  datacite Brewer, Mark Anthony 2026 置信度 0.72
• The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics
  The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics 1. Introduction: The Isomorphic Imperative in the Nile Valley The prevailing historiography of Ancient Egypt has long suffered from a persis…
  datacite Brewer, Mark Anthony 2026 置信度 0.72
• Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
  Due to the significant variability in electroencephalo-gram (EEG) signals across individuals, knowledge acquired from previous subjects is often overwritten as new subjects are introduced in continual EEG decoding tasks. Existing methods mainly rely on storing…
  datacite Li, Dan, Shin, Hye-Bin, Choi, Yeon-Woo 2025 置信度 0.77 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Mohgix Institute Strategy 2026: The Year of Certainty
  This document serves as the official strategic mandate for The Mohgix Institute for the 2026 cycle. It formally announces the Great Bifurcation of the professional services industry, declaring the end of the traditional Consultant model and the rise of the Str…
  datacite Idoniwako, Muhammad 2025 置信度 0.79 Strategic CounselArtificial IntelligenceCorporate StrategyGreat BifurcationClarity Tax
• Mohgix Institute Strategy 2026: The Year of Certainty
  This document serves as the official strategic mandate for The Mohgix Institute for the 2026 cycle. It formally announces the Great Bifurcation of the professional services industry, declaring the end of the traditional Consultant model and the rise of the Str…
  datacite Idoniwako, Muhammad 2025 置信度 0.79 Strategic CounselArtificial IntelligenceCorporate StrategyGreat BifurcationClarity Tax
• EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
  Reliable brain-computer interface (BCI) control of robots provides an intuitive and accessible means of human-robot interaction, particularly valuable for individuals with motor impairments. However, existing BCI-Robot systems face major limitations: electroen…
  datacite Wang, Junzhe, Xie, Jiarui, Hao, Pengfei, Li, Zheng 等 2025 置信度 0.77 Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• The Collective Compute Revolution: Beyond CPU and GPU
  The Collective Compute Revolution: Beyond CPU and GPU Why the Future is Hybrid, Intelligent, and Edge-First Executive Summary The digital world is at a turning point. For decades, computational progress has been measured in faster CPUs and more powerful GPUs—b…
  datacite Brewer, Mark Anthony 2025 置信度 0.72
• The Collective Compute Revolution: Beyond CPU and GPU
  The Collective Compute Revolution: Beyond CPU and GPU Why the Future is Hybrid, Intelligent, and Edge-First Executive Summary The digital world is at a turning point. For decades, computational progress has been measured in faster CPUs and more powerful GPUs—b…
  datacite Brewer, Mark Anthony 2025 置信度 0.72
• Innovative Deep Graph Learning of Brain Dynamics for Smart Brain-Computer-Interface
  Brain dynamics encode critical patterns related to cognitive, metabolic, and hemodynamic processes, among others. With the advancement of signal perception techniques, brain dynamics decoding has been attracting increasing interest, towards promising human-com…
  crossref Jiadao Zou, Qingxue Zhang 2026-06-09T19:52:10Z 置信度 0.82 cs.lgcomputer sciencebrain-computer interfaceartificial intelligenceconvolutional neural network
• Application status and prospects of brain-computer interface technology in acupuncture
  脑机接口技术为推动脑科学研究提供了新的方法，为临床治疗疾病提供了新的工具。针灸作为具有完整理论体系的传统疗法，对多种疾病有着切实的疗效，其机制研究虽日渐深入，但需进一步深化，临床疗效的提升、针刺反馈的方式和量化手段等也需新的突破。目前部分医家与学者将其结合应用已初显成效。二者结合，可通过双重路径提升临床疗效，利用可视神经数据为实现个体化诊疗打下基础。促进针灸手法量学研究，在针灸教育中也展现出了应用价值。下文从脑机接口技术简介入手，论述其与针灸的结合，对尚存的挑战与解决方法进行阐述，以期为针灸的应用、研究和传承提供新…
  crossref Zichen WANG, Ling SHI, Yingzhi MA, Ying HAI 2026-04-03T10:41:53Z 置信度 0.80 q-bio.mnnucl-thq-bio.bmcond-mat.str-elq-bio.qm
• A Low-Cost EEG Artifact-based Brain-Computer Interface for Wheelchair
  crossref Daksh Birthariya, Jalaluddeen Akbar, Abhinav Chandra Nair, Bulent Yilmaz 2026-06-23T19:43:46Z 置信度 0.66
• A Comparative Study of Brain-Computer Interface Paradigms in Lower Limb Motor Rehabilitation
  crossref Jie Zhang, Jiahe Zhang, Jiahao Lu 2026-08-07T19:15:16Z 置信度 0.66
• NeuroLex: A Lightweight Domain Language Model for EEG Report Understanding and Generation
  Clinical electroencephalogram (EEG) reports encode domain-specific linguistic conventions that general-purpose language models (LMs) fail to capture. We introduce NeuroLex, a lightweight domain-adaptive language model trained purely on EEG report text from the…
  crossref Kang Yin, Hye-Bin Shin 2026-03-19T20:04:24Z 置信度 0.82 cs.aics.lgartificial intelligencecs.cllarge language models
• PEARL: Prompt-Based EEG Adaptation via Resource-Efficient Learning for Generalizable Brain-Computer Interface
  Electroencephalography (EEG) analysis is challenged by diverse signal characteristics and high inter-subject variability, which complicates reliable decoding. Recent Transformer-based pretrained models (PTMs) offer a path forward, but their reliance on costly …
  crossref Heejae Choi, Hyunseo Kim, Eun Yi Kim 2026-04-21T21:25:57Z 置信度 0.82 computer and information sciencesbrain-computer interfacecomputer scienceelectroencephalographycs.ai
• Brain–computer interface integration in corporate learning: bidirectional enhancement frameworks for neurologically-augmented knowledge workers
  Worldwide, organizations are facing an extraordinary change as brain–computer interfaces move from medical to industrial applications. It is predicted that in 2030, 30% of people working in knowledge fields will rely on these technologies for cognitive enhance…
  crossref Viraj P. Tathavadekar, Nitin R. Mahankale 2026-04-14T09:33:26Z 置信度 0.82 computer sciencepsychologyartificial intelligencebrain-computer interfacehuman-computer interaction
• Interpretable Deep Learning for EEG-Based Brain-Computer Interface Alphanumeric Decoding
  crossref Madhavan Konar, Shubhangi Kharche, Madhuri Kulkarni, Sujal Parab 等 2026-07-28T19:09:53Z 置信度 0.66
• Neural Gaming and the Brain–Computer Interface Frontier
  crossref Jane Thomason 2025-11-12T15:47:17Z 置信度 0.66
• Sense of Agency in Brain-Computer Interface-Controlled Lower-Limb Rehabilitation Exoskeletons: Factors and Design Implications
  Brain-computer interface (BCI)-enhanced lower-limb rehabilitation exoskeletons can translate movement-related brain signals into assisted walking, thereby linking motor intention, robotic assistance, and sensory feedback. Existing evaluations of these systems …
  crossref Qingyu Zhao, Haoyu li, Pei-Luen Patrick Rau 2026-07-04T15:02:56Z 置信度 0.82 psychologybrain-computer interfacehuman-computer interactioncomputer sciencerehabilitation
• NeuroCursor: A Brain-Computer Interface (BCI) for Differently Abled Persons
  A Brain-Computer Interface (BCI) can be used to establish direct communication between the human brain and external devices, enabling an individual to control system peripherals using cognitive signals. Even the latest research papers show that research in BCI…
  crossref Atharv Chandane, Meet Jain, Ishita Garg, Anusha Goswami 等 2026-03-25T15:50:04Z 置信度 0.82 brain-computer interfacecomputer scienceinterfaceelectroencephalographyhuman-computer interaction
• Neuroadaptive Generative Gaming using Artificial Intelligence and Brain–Computer Interface for Real-Time Storyline Evolution
  The rapid evolution of Artificial Intelligence (AI) and Brain-Computer Interface (BCI) technologies is revolutionizing the way humans interact with digital systems, particularly within the gaming industry.This study introduces and explores the emerging paradig…
  crossref 2026-01-23T10:21:21Z 置信度 0.82 computer scienceartificial intelligencepsychologycs.aigenerative grammar
• Bibliometric Analysis of Functional Electrical Stimulation (FES) as a Neurofeedback Tool in Brain–Computer Interface (BCI) Systems
  In the last few years, recent advances in alternative methods for neurorehabilitation have witnessed outstanding progress including electrical stimulation (ES) and its derivative functional electrical stimulation (FES), a treatment that applies a transcutaneou…
  crossref David Reyes-Lopez, Humberto Loaiza-Correa 2026-01-12T10:26:36Z 置信度 0.82 brain-computer interfacephysical medicine and rehabilitationcomputer scienceneurosciencerehabilitation
• Application Specification of Transcranial Magnetic Stimulation Multimodal Assessment Technology
  Transcranial magnetic stimulation (TMS) is utilized in the rehabilitation of brain diseases for neuro electrophysiological assessment, enabling non-invasive and objective evaluation of patients, thus aiding in the exploration of brain dysfunction and rehabilit…
  crossref 2026-06-17T05:48:46Z 置信度 0.82 medicinephysical medicine and rehabilitationneurosciencerehabilitationcognition
• BRAIN–COMPUTER INTERFACE APPLICATIONS IN REHABILITATION: PRINCIPLES, EVIDENCE, AND CLINICAL TRANSLATION
  Brain–computer interfaces (BCIs) represent a transformative class of neurotechnology that establish a direct communication pathway between the brain and external devices, bypassing damaged or dysfunctional peripheral neuromuscular systems. By decoding neural s…
  crossref Dr. Glory Dangmei (PT), Dr. Shilpasree Saha (PT), Dr. Kundan Das Ukil (PT), Dr. Gaijilung Dangmei (PT), 2026-06-19T12:42:27Z 置信度 0.82 brain-computer interfacephysical medicine and rehabilitationrehabilitationinterfaceneuroscience
• Brain Computer Interface of an Immersive Virtual Metaverse Envisioned for Brain Healthcare
  The advent of immersive virtual metaverse platforms presents unprecedented opportunities for revolutionizing brain healthcare through the integration of Brain-Computer Interface (BCI) technologies. Even by merging immersive virtual environments with real-time …
  crossref Pankaj Rahi, Abolfazl Mehbodniya, Julian L. Webber, Sayed Sayeed Ahmad 2025-08-08T21:19:16Z 置信度 0.82 computer sciencebrain-computer interfacehuman-computer interactionneuroscienceinterface
• Brain-computer interface and eye tracking for smart homes
  The term 'brain-computer interface' (BCI) refers to a sophisticated and diverse active research topic that is based on neurology, signal processing, biomedical sensors, hardware, and other related fields of study. Individuals who are paralysed may regain some …
  crossref N.A. Prabhu, Nithya Jenev, Kamalakannan Ramachandran, Ashok Vajravelu 2026-08-27T11:30:49Z 置信度 0.82 brain-computer interfaceinterfacerehabilitationcomputer sciencehuman-computer interaction
• Scale as Condition: A Conditional Transformer for Motor Imagery Decoding
  Motor imagery (MI) decoding, as a central paradigm in brain–computer interfaces, involves mentally simulating physical actions without actual movement and demands high decoding accuracy along with real-time responsiveness. Previous studies show that task-speci…
  crossref Xinyue Ma, Tae-Seong Han, Hyun-Jong Kim, Hakseung Kim 等 2026-03-19T20:04:24Z 置信度 0.82 computer sciencebrain-computer interfacecs.aics.lgcomputer and information sciences
• Brain Computer Interface Using EEG Signals for Emotional State Detection
  The objective of the project is to classify the EEG signals of a person into emotional states such as positive, negative and neutral. The following work outlines a full pipeline of developing software that translates raw EEG signals into a reliable emotional s…
  crossref P Anand Kumar, O G Ashwanth Balaji, Nithiya Baskaran, P. Aurchana 2026-05-11T19:44:21Z 置信度 0.82 brain-computer interfacecomputer sciencecomputer and information sciencesmotor imageryelectroencephalography
• Research on Finger Movement Decoding and Control System Based on Brain Computer Interface
  crossref Kaisen He, Hulin Jin, Zhiran Jin, Yong-Guk Kim 2026-07-20T20:18:07Z 置信度 0.66
• EEG-Based Brain-Computer Interface Control for Lower-Limb Rehabilitation Robots: A Focused Review
  crossref Yongkang Li, Aihui Wang, Xinyu Liu, Xueying Hu 等 2026-08-27T19:11:54Z 置信度 0.66
• Brain–Computer Interface: From Human thought to Machine Control
  This research presents a comprehensive study of Brain–Computer Interface (BCI) technology, focusing on its evolution, working principles, types, and real-world applications. BCI is an emerging field that enables direct communication between the human brain and…
  crossref Sunny Mahagaonkar and Vighnesh Kumar Jha 2026-03-28T16:56:02Z 置信度 0.82 computer sciencebrain-computer interfaceinterfaceelectroencephalographyhuman-computer interaction
• Interpretable Brain-computer Interface for Emotion-aware Thought-to-speech using Eeg Signal Decoding
  Restoring effective communication for people with severe speech impairment remains a most important concern in assistive healthcare. Electroencephalography (EEG)-Based Brain–Computer Interfaces (BCI) can decode imagined speech from neural activity; however, ex…
  crossref Abhimanyu Singh, Edith Paulin S 2026-08-24T09:33:31Z 置信度 0.82 brain-computer interfacecomputer scienceartificial intelligenceinterfaceelectroencephalography
• BRAIN-COMPUTER INTERFACE INTEGRATED NEUROPSYCHOLOGICAL ASSESSMENT FOR QUASI-PSYCHOTIC SYMPTOMS
  In clinical psychology/psychiatry, quasi-psychotic symptoms refer to experiences such as suspiciousness or paranoia, brief hallucination-like experiences, ideas of reference, odd beliefs that are not fixed or delusional, experiences that resolve quickly, and i…
  crossref Palak Shori 2026-02-08T12:19:10Z 置信度 0.82 artificial intelligencecomputer sciencepsychologybrain-computer interfaceneuroscience
• Implementing Random Forest for Eye State Detection in an EEG-Based Brain-Computer Interface System
  Eye state detection using Electroencephalogram (EEG) signals is a growing research area in Brain-Computer Interface (BCI) systems, with practical implications for drowsiness monitoring and assistive technologies. However, EEG signals are highly susceptible to …
  crossref Muhammad Alfathan, Tri Sugihartono 2026-07-27T09:43:34Z 置信度 0.82 computer sciencebrain-computer interfaceartificial intelligencebiological sciences not elsewhere classifiedcomputer and information sciences
• Brain-Computer Interface - Bridging Technology, Education, and Ethics
  crossref 2026-01-27T11:06:38Z 置信度 0.66
• Legal Risks and Regulatory Pathways of Brain Computer Interface Technology
  Brain-computer interface is a cutting-edge technology that establishes a direct information exchange channel between the brain and external devices, progressing through signal acquisition, processing, and decoding feedback. As it moves from laboratory to clini…
  crossref Xi Wang 2026-04-28T07:43:30Z 置信度 0.82 brain-computer interfaceneurosciencecomputer scienceelectroencephalographyinterface
• A Hybrid EEG-EMG System for Brain-Computer Interface-Based Unmanned Aerial Vehicle Control
  Reliable and intuitive control of unmanned aerial vehicles (UAVs) remains a major challenge for brain-computer interface (BCI) systems, particularly in dynamic real-world environments. Steady-state visually evoked potential (SSVEP) based BCI has high precision…
  crossref Ting Wang, Lei Cao, Yan Huang, Yilin Dong 2026-05-15T02:40:33Z 置信度 0.82 brain-computer interfaceinterfaceelectroencephalographymotor imagerycomputer science
• Meta–cognitive Multi–scale Hierarchical Reasoning for Motor Imagery Decoding
  Brain–computer interface (BCI) aims to decode motor intent from noninvasive neural signals to enable control of external devices, but practical deployment remains limited by noise and variability in motor imagery (MI)–based electroencephalogram (EEG) signals. …
  crossref Si-Hyun Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Seong-Whan Lee 2026-03-19T20:04:24Z 置信度 0.82 brain-computer interfacecomputer sciencemotor imageryelectroencephalographyinterface
• Channel Discriminability Analysis via Task-Related Projection Weights in Motor Intention Decoding
  Electroencephalogram (EEG)-based motor intention decoding is essential for brain-computer interface (BCI) systems, yet high-dimensional channel data introduces substantial redundancy that obscures discriminative information and increases computational complexi…
  crossref Jingyu Ma, Hao Jia 2026-03-19T20:04:24Z 置信度 0.82 computer and information sciencesbrain-computer interfacemotor imagerysignal processingcomputer science
• Low-Cost Brain-Computer Interface for Stress Detection: A Feasibility Study Using EEG and ML.NET
  crossref Rafal Chalupnik, Katarzyna Bialas, Bartosz Perz, Mariusz Pelc 等 2026-08-24T19:17:21Z 置信度 0.66
• International and National Dimensions in Ethics and Regulation of BMI/Neurotechnology
  Neurotechnology has the potential to provide high-performance products and services to humans, with its miniaturization and minimally invasiveness of devices, coupled with the development of artificial intelligence (AI) for processing, analyzing, and generatin…
  crossref Sung-Jin Jeong, Mitsuaki Takemi, Jeong-Woo Sohn, Tamami Fukushi 2026-03-19T20:04:24Z 置信度 0.82 businesscomputer scienceengineering ethicstransformative learningtransparency
• Virtual Reality-Assisted Building Fire Evacuation Training Using Digital Twin and Brain Computer Interface Devices
  crossref Sharad Sharma, Pretom Roy Ovi, Johannas Meela Katikala 2026-07-02T19:59:33Z 置信度 0.66
• Why Go Heavy? Rethinking Visual Information Reduction in EEG-to-Image Alignment
  crossref Sangmin Jo, Adrián Ayuso-Muñoz, Wootaek Jeong, Heung-Il Suk 2026-03-19T20:04:24Z 置信度 0.63
• A Comparison of Different Algorithms for Suppressing the Stimulus Artifacts Used in Closed-Loop Brain-Computer Interface
  crossref Yirui Liu, Xiao Liu 2026-06-22T19:52:47Z 置信度 0.66
• Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving Strategy
  Adaptive reasoning enables humans to flexibly adjust inference strategies when environmental rules or contexts change, yet its underlying neural dynamics remain unclear. This study investigated the neurophysiological mechanisms of adaptive reasoning using a ca…
  crossref Jun-Young Kim, Young-Seok Kweon, Gi-Hwan Shin, Seong-Whan Lee 2026-03-19T20:04:24Z 置信度 0.82 psychologycs.aiartificial intelligencegenerative grammarcomputer and information sciences
• Multi-Task EEGNet-TCN Decoder of Motor Imagery and Cognitive State in Motor Imagery BCI
  Motor imagery brain-computer interfaces (MI-BCI) show large inter- and intra-subject variability, which is often attributed to non-stationary cognitive states such as fatigue or attention. In this study, we revisit the OpenBMI motor imagery dataset, which cont…
  crossref Da-Hyeon Sim, Won-Sik Oh, Dong-Hwa Jeong 2026-03-19T20:04:24Z 置信度 0.82 brain-computer interfacemotor imageryelectroencephalographyinterfacecomputer science
• Training the Motor Cortex by Observing the Actions of Others During Immobilization
  Limb immobilization and nonuse are well-known causes of corticomotor depression. While physical training can drive the recovery from nonuse-dependent corticomotor effects, it remains unclear if it is possible to gain access to motor cortex in alternative ways,…
  openalex Michela Bassolino, Martina Campanella, Marco Bove, Thierry Pozzo 等 2013-07-29 置信度 0.80 Transcranial magnetic stimulationMotor cortexFacilitationNeuroplasticityPsychology
• The Swedish MS registry – clinical support tool and scientific resource
  The Swedish MS registry (SMSreg) is designed to assure quality health care for patients with multiple sclerosis (MS). It has been active since 2001 and web-based since 2004. It runs on government funding only and is used in all Swedish neurology departments. T…
  openalex Jan Hillert, Leszek Stawiarz 2015-06-05 置信度 0.72 Resource (disambiguation)MedicineComputer scienceComputer network
• Functional neurological restoration of amputated peripheral nerve using biohybrid regenerative bioelectronics
  The development of neural interfaces with superior biocompatibility and improved tissue integration is vital for treating and restoring neurological functions in the nervous system. A critical factor is to increase the resolution for mapping neuronal inputs on…
  openalex Amy E. Rochford, Alejandro Carnicer‐Lombarte, Malak Kawan, Amy Jin 等 2023-03-22 置信度 0.82 BioelectronicsNeuroprostheticsInduced pluripotent stem cellRegenerative medicineNeuroscience
• Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
  This survey presents a comprehensive review of current literature on Explainable Artificial Intelligence (XAI) methods for cyber security applications. Due to the rapid development of Internet-connected systems and Artificial Intelligence in recent years, Arti…
  openalex Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani, Chan Yeob Yeun 等 2022-01-01 置信度 0.78 Computer scienceComputer securityState (computer science)Artificial intelligenceData science
• The N‐glycan profile in cortex and hippocampus is altered in Alzheimer disease
  Protein glycosylation is crucial for the central nervous system and brain functions, including processes that are defective in Alzheimer disease (AD) such as neurogenesis, synaptic function, and memory formation. Still, the roles of glycans in the development …
  openalex Stefan Gaunitz, Lars O. Tjernberg, Sophia Schedin‐Weiss 2020-09-28 置信度 0.82 HippocampusNeuroscienceAlzheimer's diseaseDiseaseGlycan
• Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model
  How neuronal activity of motor cortex is related to movement is a central topic in motor neuroscience. Motor-cortical single neurons are more closely related to hand movement velocity than speed, that is, the magnitude of the (directional) velocity vector. Rec…
  openalex Jiří Hammer, Tobias Pistohl, Jörg Fischer, Pavel Kršek 等 2016-03-16 置信度 0.80 NeurosciencePopulationMotor cortexFunctional magnetic resonance imagingPrimary motor cortex
• Gene Ontology curation of the blood–brain barrier to improve the analysis of Alzheimer’s and other neurological diseases
  The role of the blood-brain barrier (BBB) in Alzheimer's and other neurodegenerative diseases is still the subject of many studies. However, those studies using high-throughput methods have been compromised by the lack of Gene Ontology (GO) annotations describ…
  openalex Shirin C C Saverimuttu, Barbara Kramarz, M. Rodríguez-López, Penelope Garmiri 等 2021-10-01 置信度 0.78 AnnotationGene ontologyOntologyComputer scienceFunction (biology)
• Skin cancer detection using non-invasive techniques
  Skin cancer is the most common form of cancer and is globally rising. Historically, the diagnosis of skin cancers has depended on various conventional techniques which are of an invasive manner. A variety of commercial diagnostic tools and auxiliary techniques…
  openalex Vigneswaran Narayanamurthy, P. Padmapriya, A. Noorasafrin, B. Pooja 等 2018-01-01 置信度 0.76 Multispectral imageSkin cancerOptical coherence tomographyMedicineCancer detection
• Contributions of descending and ascending pathways to corticomuscular coherence in humans
  Corticomuscular coherence in the beta frequency band (15–30 Hz) has been demonstrated in both humans and monkeys, but its origin and functional role are still unclear. Phase–frequency plots produced by traditional coherence analysis are often complex. Some sub…
  openalex Claire L. Witham, C. Nicholas Riddle, Mark R. Baker, Stuart N. Baker 2011-05-30 置信度 0.80 Coherence (philosophical gambling strategy)NeuroscienceMotor cortexSensory systemCortex (anatomy)
• Identifying miRNAs, targets and functions
  microRNAs (miRNAs) are small endogenous non-coding RNAs that function as the universal specificity factors in post-transcriptional gene silencing. Discovering miRNAs, identifying their targets and further inferring miRNA functions have been a critical strategy…
  openalex B. Liu, Jiuyong Li, Murray J. Cairns 2012-11-22 置信度 0.72 microRNAComputational biologyGene silencingAnnotationBiology
• [Retracted] Human‐Computer Interaction Using Manual Hand Gestures in Real Time
  This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale c…
  openalex Mohammad Alsaffar, Abdullah Alshammari, Gharbi Alshammari, Tariq S. Almurayziq 等 2021-01-01 置信度 0.78 GestureComputer scienceToolboxHuman–computer interactionProcess (computing)
• A Perspective on Explanations of Molecular Prediction Models
  Chemists can be skeptical in using deep learning (DL) in decision making, due to the lack of interpretability in "black-box" models. Explainable artificial intelligence (XAI) is a branch of artificial intelligence (AI) which addresses this drawback by providin…
  openalex Geemi P. Wellawatte, Heta A. Gandhi, Aditi Seshadri, Andrew Dickson White 2023-03-27 置信度 0.82 Perspective (graphical)Computer scienceData scienceComputational biologyArtificial intelligence
• MyoGestic: EMG interfacing framework for decoding multiple spared motor dimensions in individuals with neural lesions
  Restoring motor function in individuals with spinal cord injuries (SCIs), strokes, or amputations is a crucial challenge. Recent studies show that spared motor neurons can still be voluntarily controlled using surface electromyography (EMG), even without visib…
  openalex Raul Sîmpetru, Dominik I. Braun, Allen Simon, Michael März 等 2025-04-09 置信度 0.84 Computer scienceBrain–computer interfaceInterfacingNeural ProsthesisElectromyography
• Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer's disease
  In order to observe changes owing to aging and Alzheimer's disease (AD) in the volumes of subdivisions of the hippocampus and the number of neurons of the hippocampal formation, 18 normal brains from subjects who died of nonneurological causes and had no histo…
  openalex Goran imi, Ivica Kostovi, Bengt Winblad, Nenad Bogdanovi 1997-03-24 置信度 0.78 Fascia dentataSubiculumStereologyHippocampal formationCresyl violet
• Taking inspiration from nature is a no-brainer
  The hierarchical structure and function of the brain offer a source of inspiration for the development of intelligent robots.
  openalex Amos Matsiko 2023-05-31 置信度 0.79 Cognitive scienceFunction (biology)Brain functionRobotComputer science
• A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
  Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes r…
  openalex Omar Ali, Wiem Abdelbaki, Anup Shrestha, Ersin Elbaşı 等 2023-01-01 置信度 0.82 Health careSystematic reviewComputer scienceManagement scienceEngineering
• Smart grid technologies and application in the sustainable energy transition: a review
  The smart grid is a product of the advances in computer and communication technology and power electronics that creates a more resilient, reliable and one that supports a two-way flow of electricity and information.The smart grid enables more uptake of the var…
  openalex Moses Jeremiah Barasa Kabeyi, Oludolapo Akanni Olanrewaju 2023-09-07 置信度 0.78 Smart gridRenewable energyVariable renewable energySoftware deploymentGrid
• A virtual reality test battery for assessment and screening of spatial neglect
  BACKGROUND: There is a need for improved screening methods for spatial neglect. AIM: To construct a VR-test battery and evaluate its accuracy and usability in patients with acute stroke. METHOD: VR-DiSTRO consists of a standard desktop computer, a CRT monitor …
  openalex Helena Fordell, Kenneth Bodin, Göran Bucht, Jan Malm 2010-06-22 置信度 0.78 UsabilityNeglectTest (biology)Virtual realityPsychology
• Biomarkers of Cardiovascular Disease
  C ardiovascular diseases (CVD) are the leading cause of morbidity and mortality in the United States. Subclinical disease culminates in overt CVD. The onset of CVD itself portends an adverse prognosis with greater risk of recurrent events, morbidity, and morta…
  openalex Ramachandran S. Vasan 2006-05-15 置信度 0.69 MedicineDiseaseIntensive care medicineInternal medicine
• How time-flexible work policies can reduce stress, improve health, and save money
  Data from the US National Study of the Changing Workforce (a nationally representative sample of working adults) were used to test the hypothesis that employees with time-flexible work policies reported less stress, higher levels of commitment to their employe…
  openalex Diane F. Halpern 2005-01-01 置信度 0.69 Work (physics)WorkforceTest (biology)BusinessFamily-friendly
• Prediction of exhaled carbon dioxide concentration using a computer‐simulated person that included alveolar gas exchange
  Accurate prediction of inhaled CO2 concentration and alveolar gas exchange efficiency would improve the prediction of CO2 concentrations around the human body, which is essential for advanced ventilation design in buildings. We therefore, developed a computer-…
  openalex Kazuki Kuga, Mitsuharu Sakamoto, Pawel Wargocki, Kazuhide Ito 2022-08-01 置信度 0.78 Carbon dioxideVentilation (architecture)Tidal volumeVolume (thermodynamics)Environmental science
• Rewiring Droplet Interface Synapses
  Neuromorphic (or brain‐inspired) materials take inspiration from the adaptive architecture of the brain in developing novel materials that exhibit a form of memory through evolving properties. These neuromorphic materials are currently being explored as altern…
  openalex Sarita Shrestha, Eric C. Freeman 2026-01-28 置信度 0.84 Neuromorphic engineeringMembraneInterface (matter)NanotechnologyLipid bilayer
• Early Education for Spatial Intelligence: Why, What, and How
  Spatial representation and thinking have evolutionary importance for any mobile organism. In addition, they help reasoning in domains that are not obviously spatial, for example, through the use of graphs and diagrams. This article reviews the literature sugge…
  openalex Nora S. Newcombe, Andrea Frick 2010-08-05 置信度 0.69 Spatial intelligenceSocioeconomic statusRepresentation (politics)Spatial abilityPsychology
• Editing reality in the brain
  Recent information technologies such as virtual reality (VR) and augmented reality (AR) allow the creation of simulated sensory worlds with which we can interact. Using programming language, digital details can be overlaid onto displays of our environment, con…
  openalex Eamonn Walsh, David A. Oakley 2022-07-01 置信度 0.82 Computer sciencePsychologyCognitive science
• Predictions not commands: active inference in the motor system
  The descending projections from motor cortex share many features with top-down or backward connections in visual cortex; for example, corticospinal projections originate in infragranular layers, are highly divergent and (along with descending cortico-cortical …
  openalex Rick A. Adams, Stewart Shipp, Karl Friston 2012-11-05 置信度 0.80 NeuroscienceMotor systemInferenceMotor cortexSensory system