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Data engineering for smart systemsproceedings of SSIC 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data engineering for smart systemsedited by Priyadarsi Nanda ... [et al.].
Reminder of title:	proceedings of SSIC 2021 /
remainder title:	SSIC 2021
other author:	Nanda, Priyadarsi.
corporate name:
Published:	Singapore :Springer Singapore :2022.
Description:	xxii, 681 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet of thingsCongresses.
Online resource:	https://doi.org/10.1007/978-981-16-2641-8
ISBN:	9789811626418$q(electronic bk.)

Data engineering for smart systemsproceedings of SSIC 2021 /
Data engineering for smart systemsproceedings of SSIC 2021 /[electronic resource] :SSIC 2021edited by Priyadarsi Nanda ... [et al.]. - Singapore :Springer Singapore :2022. - xxii, 681 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 2382367-3389 ;. - Lecture notes in networks and systems ;v.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$q(electronic bk.)

Standard No.: 10.1007/978-981-16-2641-8doiSubjects--Topical Terms:

696440
Internet of things
--Congresses.

LC Class. No.: QA76.5915 / .I57 2021

Dewey Class. No.: 004.678

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