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Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023)
Published 2024-11-01“…EEG remains the most commonly used method, with significant contributions from Asia, Europe, and North America. …”
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Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete
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An Intuitive and Efficient Teleoperation Human–Robot Interface Based on a Wearable Myoelectric Armband
Published 2025-07-01“…Four experimental tasks were designed using different end-effectors (gripper/dexterous hand) and camera viewpoints (front/side view). …”
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Reinforcement learning in artificial intelligence and neurobiology
Published 2025-09-01“…We also highlight clinical applications, including how RL frameworks are used to model cognitive decline and psychiatric disorders, while acknowledging limitations in scaling RL to biological complexity.Looking ahead, RL offers powerful tools for understanding brain function, guiding brain–machine interfaces, and personalizing psychiatric treatment. …”
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Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks
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Cross-subject EEG signals-based emotion recognition using contrastive learning
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Immersive Technology for Human-Centric Cyberphysical Systems in Complex Manufacturing Processes: A Comprehensive Overview of the Global Patent Profile Using Collective Intelligence
Published 2018-01-01“…Industry 4.0 includes all technologies, standards, and frameworks for the fourth industrial revolution to facilitate intelligent manufacturing. Industrial immersive technologies will be used for smart manufacturing innovation in the context of Industry 4.0’s human machine interfaces. …”
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Automatic picking method for ground penetrating radar wave groups at rough coal-rock interfaces
Published 2025-06-01“…The automatic picking method for ground-penetrating radar wave groups at coal-rock interfaces is crucial for achieving online intelligent interpretation of coal-rock strata. …”
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Kullback–Leibler Divergence‐Based Fault Detection Scheme for 100% Inverter Interfaced Autonomous Microgrids
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A SP-SECE None-Residual Charge PEH Interface Circuit With an Optimized Phase Delay
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EEG Baseline Analysis for Effective Extraction of P300 Event-Related Potentials for Welfare Interfaces
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A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications
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Enhancing Air Quality Forecasting Using Machine Learning Techniques
Published 2024-01-01“…The proposed approach presents the significance of the system as a transformative solution for sustainable urban living and air quality control, emphasizing the use of cutting-edge technology, data-driven insights, and community engagement to address pressing urban challenges.…”
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