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Titlebook: Machine Learning and Metaheuristics: Methods and Analysis; Uma N. Dulhare,Essam Halim Houssein Book 2023 The Editor(s) (if applicable) and

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31#
發(fā)表于 2025-3-26 21:12:25 | 只看該作者
Biomedical Applications of Chiral Nanoplasmonics,de range of applications based on optical, thermal and mechanical molecule-plasmon interactions. Chiral nanoplasmonics, an emerging subject that sits between plasmonics and molecular nanotechnology, has made incredible strides in the development of research for early sickness diagnosis and enantioselective sensing.
32#
發(fā)表于 2025-3-27 04:45:29 | 只看該作者
2524-7565 optimization, cuckoo search algorithm, etc..Includes real-wo.This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with meta
33#
發(fā)表于 2025-3-27 06:39:01 | 只看該作者
Uma N. Dulhare,Essam Halim HousseinProvides rich set of chapters of machine learning and metaheuristic optimization.Emphasizes optimization algorithms such as PSO, ant colony optimization, cuckoo search algorithm, etc..Includes real-wo
34#
發(fā)表于 2025-3-27 12:20:41 | 只看該作者
Algorithms for Intelligent Systemshttp://image.papertrans.cn/m/image/620566.jpg
35#
發(fā)表于 2025-3-27 15:53:16 | 只看該作者
36#
發(fā)表于 2025-3-27 19:08:58 | 只看該作者
978-981-99-6647-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
37#
發(fā)表于 2025-3-27 22:33:35 | 只看該作者
Machine Learning and Metaheuristics: Methods and Analysis978-981-99-6645-5Series ISSN 2524-7565 Series E-ISSN 2524-7573
38#
發(fā)表于 2025-3-28 05:35:01 | 只看該作者
39#
發(fā)表于 2025-3-28 10:11:08 | 只看該作者
40#
發(fā)表于 2025-3-28 13:24:40 | 只看該作者
Optimization Technique Used in Biomedical for Qualitative Sleep Analysis,asurement of sleep in clinical and commercial monitoring systems. The parameter optimization method for qualitative sleep analysis is based on reduction of parameters by finding independent parameters and their derived dependent parameters. The optimization technique in biomedical application leads
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