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  1. Applied and Computational Mathematics for Digital Environments

    出版事項 2023
    “…The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: The construction of mathematical and information models of intelligent computer systems for monitoring and controlling the parameters of digital environments; The development of intelligent optimization algorithms that search for optimal parameter values of mathematical and information models in digital environments; Software and mathematical technologies in the implementation of intelligent monitoring and computer control of the parameters of digital environments; The development and application of mathematical and information models, machine learning methods, and artificial intelligence for the analysis and processing of big data in digital environments. …”
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  2. Computational Methods and Applications for Numerical Analysis

    出版事項 2023
    “…It is hoped that the reprint will be interesting and useful for those working in the area of numerical analysis, as well as for those with a proper mathematical background and willing to become familiar with novel applications of computational techniques, which have rapidly developed nowadays.…”
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  3. Optimization and Control in Energy Management: Mathematical Modeling and Simulation

    出版事項 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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  4. Quality of Service (QoS)

    出版事項 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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  5. Computational Methods and Application in Machine Learning

    出版事項 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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  6. Today's TBB 著者: Voss, Michael J., Reinders, James R.

    出版事項 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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  7. Advances in Artificial Intelligence

    出版事項 2025
    “…This issue also explores developments in natural language processing and multimodal data analysis, alongside optimization strategies inspired by evolutionary algorithms and probabilistic models, such as Gaussian processes. …”
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