Advanced soft computing techniques in data science, IoT and cloud computing / Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang, editors.
2021
QA76.9.S63
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Details
Title
Advanced soft computing techniques in data science, IoT and cloud computing / Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang, editors.
ISBN
9783030756574 (electronic bk.)
3030756572 (electronic bk.)
9783030756567 (print)
3030756564
3030756572 (electronic bk.)
9783030756567 (print)
3030756564
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xxv, 434 pages) : illustrations (some color)
Other Standard Identifiers
10.1007/978-3-030-75657-4 doi
Call Number
QA76.9.S63
Dewey Decimal Classification
006.3
Summary
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.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 11, 2021).
Added Author
Dash, Sujata, 1964- editor.
Pani, Subhendu Kumar, 1980- editor.
Abraham, Ajith, 1968- editor.
Liang, Yulan, editor.
Pani, Subhendu Kumar, 1980- editor.
Abraham, Ajith, 1968- editor.
Liang, Yulan, editor.
Series
Studies in big data ; v. 89. 2197-6511
Available in Other Form
Advanced soft computing techniques in data science, IoT and cloud computing.
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Table of Contents
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.
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.