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Data Engineering for Smart Systems = Proceedings of SSIC 2021 /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data Engineering for Smart Systems/ edited by Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar.
Reminder of title:
Proceedings of SSIC 2021 /
other author:
Nanda, Priyadarsi.
Description:
XXII, 681 p. 276 illus., 197 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Engineering—Data processing. -
Online resource:
https://doi.org/10.1007/978-981-16-2641-8
ISBN:
9789811626418
Data Engineering for Smart Systems = Proceedings of SSIC 2021 /
Data Engineering for Smart Systems
Proceedings of SSIC 2021 /[electronic resource] :edited by Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar. - 1st ed. 2022. - XXII, 681 p. 276 illus., 197 illus. in color.online resource. - Lecture Notes in Networks and Systems,2382367-3389 ;. - Lecture Notes in Networks and Systems,1.
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.
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.
ISBN: 9789811626418
Standard No.: 10.1007/978-981-16-2641-8doiSubjects--Topical Terms:
1297966
Engineering—Data processing.
LC Class. No.: TA345-345.5
Dewey Class. No.: 620.00285
Data Engineering for Smart Systems = Proceedings of SSIC 2021 /
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