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  1. 481

    High‐Precision, Low‐Threshold Neuromodulation With Ultraflexible Electrode Arrays for Brain‐to‐Brain Interfaces by Yifei Ye, Ye Tian, Haifeng Liu, Jiaxuan Liu, Cunkai Zhou, Chengjian Xu, Ting Zhou, Yanyan Nie, Yu Wu, Lunming Qin, Zhitao Zhou, Xiaoling Wei, Jianlong Zhao, Zhenyu Wang, Meng Li, Tiger H. Tao, Liuyang Sun

    Published 2025-08-01
    “…However, traditional methods using rigid electrodes have been limited by large stimulating currents, low precision, and the risk of tissue damage. …”
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    The effect of testing procedure on DSC measurements of Gd-Ti-Zr alloy using ZrO2 container by Turalska P., Homa M., Sobczak N., Gazda A., Wierzbicka-Miernik A., Kaban I.

    Published 2020-01-01
    “…The high temperature interaction and reactivity taking place between molten alloy samples and ZrO2 container during DSC tests were evaluated by structural analysis of the resulting interfaces using alloy samples solidified inside the ZrO2 containers. …”
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    BCI‐control and monitoring system for smart home automation using wavelet classifiers by Amer Al‐Canaan, Hicham Chakib, Muhammad Uzair, Shuja‐uRehman Toor, Amer Al‐Khatib, Majid Sultan

    Published 2022-04-01
    “…Abstract Brain Computer Interface (BCI) is a major research field that is based upon Electroencephalography (EEG) brain signals, which are captured using EEG electrodes, amplified and filtered before being converted to the digital form in order to perform thorough pre‐processing and machine‐learning. …”
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  9. 489

    Enhancing Detection of Control State for High-Speed Asynchronous SSVEP-BCIs Using Frequency-Specific Framework by Yufeng Ke, Jiale Du, Shuang Liu, Dong Ming

    Published 2023-01-01
    “…This study proposed a novel frequency-specific (FS) algorithm framework for enhancing control state detection using short data length toward high-performance asynchronous steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCI). …”
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  10. 490

    EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

    Published 2025-09-01
    “…At the decision fusion stage, decision outputs from both modalities are first quantified using Dirichlet distribution parameter estimation to model uncertainty, followed by a two-layer reasoning process using Dempster-Shafer Theory (DST) to fuse evidence from basic belief assignment (BBA) methods and both modalities. …”
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    Classification of Motor-Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers Learning on Wavelet-Scattering Features by Tuan D. Pham

    Published 2023-01-01
    “…Brain-computer or brain-machine interface technology allows humans to control machines using their thoughts via brain signals. …”
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    A Highly Efficient HMI Algorithm for Controlling a Multi-Degree-of-Freedom Prosthetic Hand Using Sonomyography by Vaheh Nazari, Yong-Ping Zheng

    Published 2025-06-01
    “…In this study, we developed a highly efficient human–machine interface algorithm for controlling a prosthetic hand with 6-DOF using a wireless and wearable ultrasound imaging probe. …”
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  19. 499

    Vibration reduction of lightweight structures through adjustable damping and stiffness properties at their interfaces by Emil Heyden, Philipp Hüttich, Lukas Bunk, Dieter Krause

    Published 2025-09-01
    “…The variable boundary conditions are achieved by adjustable impedance elements, which are mechanical elements that can change their stiffness and damping behavior separately and are designed for use in vibration testing. A new generation of an adjustable impedance element is presented in this publication and its use in a large component test environment. …”
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  20. 500

    Integrating machine-readable user interface requirements into open networked operating rooms by Okan Yilmaz, Dominik Stegemann, Klaus Radermacher, Miriam Lange, Armin Janß

    Published 2025-07-01
    “…Addressing the complexity of use cases with multiple network participants requires defining use context, hazardous situations, user profiles, user interfaces, system function contributions, limitations, configurations, and required conditions for safe use. …”
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