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    G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications by Abdallah Alzubi, David Lin, Johan Reimann, Fadi Alsaleem

    Published 2025-07-01
    “…Continuous-time Recurrent Neural Networks (CTRNNs) are well-suited for modeling temporal dynamics in low-power neuromorphic and analog computing systems, making them promising candidates for edge-based human activity recognition (HAR) in healthcare. …”
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    FEATURES OF HARMONIC LINEARIZATION OF NONLINEAR ELEMENT IN CONTROL SYSTEMS OF AERIAL VEHICLES WITH THE DIGITAL COMPUTER ONBOARD by Vladislav G. Solonikov, Оleksandr V. Voitko, Elena V. Polykova

    Published 2018-08-01
    “…Reviewed features of harmonic linearization of nonlinear element in control systems with the digital computer onboard (DCO) in the circuit of control. Difficulties of this task solution become more complicated because of the system of automatic control with DCO in the circuit of control naturally is continuous-discrete system (CDS). …”
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    Mitigating Selection Bias in Local Optima: A Meta-Analysis of Niching Methods in Continuous Optimization by Junchen Wang, Changhe Li, Yiya Diao

    Published 2025-07-01
    “…As mainstream solvers for black-box optimization problems, evolutionary computation (EC) methods struggle with finding desired optima of lower attractiveness. …”
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    Continuous patient monitoring with AI: real-time analysis of video in hospital care settings by Paolo Gabriel, Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma, Narinder Singh

    Published 2025-03-01
    “…IntroductionThis study introduces an AI-driven platform for continuous and passive patient monitoring in hospital settings, developed by LookDeep Health. …”
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    A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images by Madankumar Balasubramani, Monisha Srinivasan, Wei-Horng Jean, Shou-Zen Fan, Jiann-Shing Shieh

    Published 2025-02-01
    “…Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. …”
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    On numerical stability of continued fractions by V. Hladun, V. Кravtsiv, M. Dmytryshyn, R. Rusyn

    Published 2024-12-01
    “…The paper considers the numerical stability of the backward recurrence algorithm (BR-algorithm) for computing approximants of the continued fraction with complex elements. …”
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