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Titlebook: Smart Computing Techniques in Industrial IoT; Chiranji Lal Chowdhary,Asis Kumar Tripathy,Yulei W Book 2025 The Editor(s) (if applicable) a

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发表于 2025-3-21 17:53:39 | 显示全部楼层 |阅读模式
书目名称Smart Computing Techniques in Industrial IoT
编辑Chiranji Lal Chowdhary,Asis Kumar Tripathy,Yulei W
视频video
概述Presents case studies with references to real-world applications.Provides a holistic discussion on the new smart computing techniques in Industrial IoT.Provides state of the art developments in the fi
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Smart Computing Techniques in Industrial IoT;  Chiranji Lal Chowdhary,Asis Kumar Tripathy,Yulei W Book 2025 The Editor(s) (if applicable) a
描述.The book provides a conceptual framework and roadmap for applications and research trends in Smart Computing Techniques in Industrial IoT. This volume aims to provide information on emerging fields of intelligent computing techniques with a particular emphasis on industrial IoT development and applications of artificial intelligence, deep learning techniques, computational intelligence methods, the Internet of Medical Things (IoMT), optimization techniques, blockchain, and cloud computing. It will be a useful guide for undergraduate and postgraduate students studying artificial intelligence, deep learning, industry 4.0, industry 5.0, smart cities, machine learning, deep learning computational intelligence, and edge/cloud computing..
出版日期Book 2025
关键词Transfer Learning using Computational Intelligence; Neural Network; Federated Learning; Industrial IoT;
版次1
doihttps://doi.org/10.1007/978-981-97-7494-4
isbn_softcover978-981-97-7496-8
isbn_ebook978-981-97-7494-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-21 23:39:49 | 显示全部楼层
Harpreet Kaur Channi,Chiranji Lal Chowdharytable for the vast majority of engineering and technical personnel and teachers in colleges and institutions who are engaged in wireless optical communication. It can also be used to train senior undergraduates and graduate students in relevant fields..978-981-99-1527-9978-981-99-1525-5Series ISSN 2731-5967 Series E-ISSN 2731-5975
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Neural Networks for Cloud-Based Industrial Internet of Things,g data privacy, authentication, and secure communication protocols. Additionally, the paper discusses the role of edge computing in augmenting the capabilities of Cloud-based NNs, enabling localized decision-making and reducing latency. It emphasizes the need for collaborative research efforts to ov
发表于 2025-3-23 04:12:36 | 显示全部楼层
Deep Learning Approach Towards Green IIOT,ndle processes incredibly accurately because of deep learning. A thorough examination of real-world applications, a look at ethical issues, and a glimpse into the future of a greener, more effective industry are all covered in the debate.
发表于 2025-3-23 05:49:21 | 显示全部楼层
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