檢索結果 - (doe OR (done OR does)) optimization (algorithm OR algorithms)

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  1. Flow Control, Active and Passive Applications

    出版 2023
    主題: “...DOE optimization algorithm...”
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  2. Feature Papers in Eng 2023

    出版 2024
    主題: “...Random Forest algorithm...”
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  3. Biometrics and Cryptography

    出版 2024
    “...As a consequence of the pervasiveness of crypto algorithms, an increasing number of people must understand how they work and how they can be applied in practice. ...”
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  4. Management and evolution of the European Union member states in the Big Data era. The impact of Big Data on the organization of the European market Constantin, Anghelache, Ghislaine, Pellat

    出版 2021
    “...New behaviors are observed on the markets thanks to algorithmic optimizations or via the technology of the “Blockchain”. ...”
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  5. New Achievements in Evolutionary Computation

    出版 2021
    “...During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. ...”
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  6. Advances in Rotating Electric Machines

    出版 2021
    主題: “...optimization algorithm...”
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  7. Advances in Rotating Electric Machines

    出版 2021
    主題: “...optimization algorithm...”
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  8. Mathematical Modelling of Energy Systems and Fluid Machinery

    出版 2022
    主題: “...Levenberg–Marquardt algorithm...”
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  9. Hacking Life Reagle, Joseph

    出版 2022
    “...They share tips on the most efficient ways to tie shoelaces and load the dishwasher; they employ a tomato-shaped kitchen timer as a time-management tool.They see everything as a system composed of parts that can be decomposed and recomposed, with algorithmic rules that can be understood, optimized, and subverted. ...”
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  10. Convex Optimization for Machine Learning Suh, Changho

    出版 2023
    “...Another key feature is that it includes programming implementation of a variety of machine learning algorithms inspired by optimization fundamentals, together with a brief tutorial of the used programming tools. ...”
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