Data Engineering for Smart Systems Proceedings of SSIC 2021 /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Nanda, Priyadarsi (Editor), Verma, Vivek Kumar (Editor), Srivastava, Sumit (Editor), Gupta, Rohit Kumar (Editor), Mazumdar, Arka Prokash (Editor)
Summary:XXII, 681 p. 276 illus., 197 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture Notes in Networks and Systems, 238
Subjects:
Online Access:https://doi.org/10.1007/978-981-16-2641-8
Format: Electronic Book

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245 1 0 |a Data Engineering for Smart Systems  |h [electronic resource] :  |b Proceedings of SSIC 2021 /  |c edited by Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar. 
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505 0 |a Using Machine Learning, Image Processing & Neural Networks to Sense Bullying in K-12 Schools: Enhanced -- Feature based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content -- Smart support system for navigation of visually challenged person using IOT -- Identity Based Video Summarization -- Security Testing for Blockchain enabled IoT system. 
520 |a This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22–23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies. 
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