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  1. Optimization and Control in Energy Management: Mathematical Modeling and Simulation

    出版 2024
    “...It is hoped that this reprint will be interesting and useful for those working in the area of EMS, power systems’ optimal operation, and renewable energy systems, as well as for those having the proper mathematical background and the willingness to be familiar with the recent advances in the mathematical modeling and simulation of energy systems, which are essential tools for the strategic planning and optimal operation of hybrid energy systems in the form of islanded or grid-connected mini or microgrids....”
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  2. Quality of Service (QoS)

    出版 2025
    “...A significant focus of the book is the integration of QoS with 5G and beyond, highlighting methods like QoS-aware machine learning for resource optimization, dynamic resource allocation through predictive analytics, and traffic routing algorithms for real-time network improvements. ...”
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  3. Computational Methods and Application in Machine Learning

    出版 2025
    “...Machine learning is an interdisciplinary subject involving probability theory, statistics, approximation theory, convex analysis, optimization, algorithm complexity theory, etc. It focuses on how computers simulate or realize human learning behaviors in order to obtain new knowledge or skills. ...”
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  4. Today's TBB Voss, Michael J., Reinders, James R.

    出版 2025
    “...It then introduces the major components of TBB including parallel algorithms, flow graphs, and task groups that help you fully leverage the power of multicore systems. ...”
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