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Titlebook: Intelligent Computing & Optimization; Proceedings of the 4 Pandian Vasant,Ivan Zelinka,Gerhard-Wilhelm Weber Conference proceedings 2022 Th

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書目名稱Intelligent Computing & Optimization
副標(biāo)題Proceedings of the 4
編輯Pandian Vasant,Ivan Zelinka,Gerhard-Wilhelm Weber
視頻videohttp://file.papertrans.cn/470/469453/469453.mp4
概述Says that urgent problems worldwide could be addressed by intelligent computing and optimization.Requires innovative notions, concepts, and models, leading to powerful decision support systems and cod
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent Computing & Optimization; Proceedings of the 4 Pandian Vasant,Ivan Zelinka,Gerhard-Wilhelm Weber Conference proceedings 2022 Th
描述This book includes the scientific results of the fourth edition of the International Conference on Intelligent Computing and Optimization which took place at December 30–31, 2021, via ZOOM. The conference objective was to celebrate “Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovation—marvelous opportunity for discourse and mutuality by novel research, invention and creativity..This proceedings encloses the original and innovative scientific fields of optimization and optimal control, renewable energy and sustainability, artificial intelligence and operational research, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine..
出版日期Conference proceedings 2022
關(guān)鍵詞IoTs; Big Data Analytics; Artificial Intelligence; Operational Research; Technology; ICO2020; ICO
版次1
doihttps://doi.org/10.1007/978-3-030-93247-3
isbn_softcover978-3-030-93246-6
isbn_ebook978-3-030-93247-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Ig the pooling operations that play a central role in spatial dimensionality reduction. A hybrid pooling operation based on max and average pooling is developed to learn and adopt the complex and variable patterns of the tumor regions without discarding or distorting the information. The proposed hyb
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A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in Wireless Sensor Networksse the network lifetime. Therefore, in this paper an energy-efficient modified LEACH protocol based on the fuzzy logic controller (FLC) is suggested to find the optimal number of CHs. The fuzzy chance is combined with the probability of CH selection in LEACH to produce a new selection criterion. The
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