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Titlebook: Machine Learning and Big Data Analytics; 2nd International Co Rajiv Misra,Rana Omer,Priyanka Mishra Conference proceedings 2023 The Editor(

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书目名称Machine Learning and Big Data Analytics
副标题2nd International Co
编辑Rajiv Misra,Rana Omer,Priyanka Mishra
视频video
概述Includes cutting-edge research from around the globe.Discusses current status, trends, future directions, and opportunities.Written for beginners, young researchers, and academics
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Machine Learning and Big Data Analytics; 2nd International Co Rajiv Misra,Rana Omer,Priyanka Mishra Conference proceedings 2023 The Editor(
描述.This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence..The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globeon this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers..
出版日期Conference proceedings 2023
关键词Machine Learning; Big data; Data analytics; Artificial intelligence; Technologies
版次1
doihttps://doi.org/10.1007/978-3-031-15175-0
isbn_softcover978-3-031-15177-4
isbn_ebook978-3-031-15175-0Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
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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An IoT Application for Detection and Monitoring of Manhole, parameters, which are sent to the managing authorities via smart phone using the GSM module. Based on the received information the municipal administration will take the necessary action to resolve the manhole problem. In this paper, we explain and demonstrate this problem using IoT.
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