December 2025
Intermediate to advanced
656 pages
16h 47m
English
Content preview from Edge Artificial Intelligence
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19A Case Study from Internet of Things to Edge AI with Challenges in Industry 4.0
Harishchander Anandaram1, Vinisha Sumra2, Roosha Shamoon3, Kawerinder Singh Sidhu4, Shreenidhi K.S.5 and Kapil Joshi3*
1Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India
2Computer Science and Engineering Department, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed To Be University), MULLANA, Ambala, Haryana, India
3Department of Computer Science & Engineering, Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, Uttarakhand, India
4UIM, Uttaranchal University, Dehradun, India
5Biotechnology, Rajalakshmi Engineering College, Rajalakshmi Nagar Thandalam, Chennai, Tamil Nadu, India
Abstract
Edge industry artificial intelligence (AI) is a combination of edge computing and artificial intelligence (AI) to allow data accessibility at the endpoint and how it pertains to the industrial Internet of Things (IIoT). This section provides the edge industry AI technology, defined as the fusion of artificial intelligence and edge computing, and gives a summary of edge AI application networks that are critical for solving the following issues: customization, adaptability, and safeguarding of privacy. This work is all about the planning of Industry 4.0, and with their scope through the edge AI computing system, this study is further classified into three categories, i.e., active learning (AL), federated learning (FL), and ...
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