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Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Tomonobu Senjyu,Chakchai So–In,Amit Joshi Conference proceedings 2024 Th

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书目名称Smart Trends in Computing and Communications
副标题Proceedings of Smart
编辑Tomonobu Senjyu,Chakchai So–In,Amit Joshi
视频video
概述Presents research works in the field of computing and communications.Provides original works presented at SmartCom 2024 held in Pune, India.Serves as a reference for researchers and practitioners in a
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Tomonobu Senjyu,Chakchai So–In,Amit Joshi Conference proceedings 2024 Th
描述.This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications..
出版日期Conference proceedings 2024
关键词Cloud Communications and Networks; Wireless Communications; Optical Networks and Systems; Mobile Signal
版次1
doihttps://doi.org/10.1007/978-981-97-1329-5
isbn_softcover978-981-97-1328-8
isbn_ebook978-981-97-1329-5Series 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 Singapor
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A Survey on Imparting Education Using Augmented Reality,s significantly increased. Moreover, obstacles to implementing augmented reality in online learning may include details and cognitive overload, a lack of prior experience with the technology, teacher opposition, complex and expensive technology, and technical problems with connectivity.
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Analytics of Machine Learning in Healthcare Industries, innovative solutions aimed at enhancing patient outcomes, streamlining operational processes, and mitigating costs. This paper provides an insight of the predominant themes and discoveries within the realm of ML analytics applied in healthcare industries. ML models have found extensive utility acro
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