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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing/ edited by Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang.
other author:	Dash, Sujata.
Description:	XXV, 434 p. 258 illus., 192 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-75657-4
ISBN:	9783030756574

Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing[electronic resource] /edited by Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang. - 1st ed. 2021. - XXV, 434 p. 258 illus., 192 illus. in color.online resource. - Studies in Big Data,892197-6511 ;. - Studies in Big Data,8.

A Wearable Assistive Device for Safe Travel using Transfer Learning and IoT for Visually Impaired People -- Soft Computing Techniques for Physical Layer Security of IoT Devices -- Linear Congruence and Chaos based Encryption Key Generation for Medical Data Security in IoT based Health care System -- Content Based Video Retrieval - Methods, Techniques and Applications.

This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution.

ISBN: 9783030756574

Standard No.: 10.1007/978-3-030-75657-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
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