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Data driven approach towards disrupt...

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Data driven approach towards disruptive technologiesproceedings of MIDAS 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data driven approach towards disruptive technologiesedited by T. P. Singh ... [et al.].
Reminder of title:	proceedings of MIDAS 2020 /
remainder title:	MIDAS 2020
other author:	Singh, T. P.
corporate name:
Published:	Singapore :Springer Singapore :2021.
Description:	xi, 597 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-981-15-9873-9
ISBN:	9789811598739$q(electronic bk.)

Data driven approach towards disruptive technologiesproceedings of MIDAS 2020 /
Data driven approach towards disruptive technologiesproceedings of MIDAS 2020 /[electronic resource] :MIDAS 2020edited by T. P. Singh ... [et al.]. - Singapore :Springer Singapore :2021. - xi, 597 p. :ill., digital ;24 cm. - Studies in autonomic, data-driven and industrial computing,2730-6437. - Studies in autonomic, data-driven and industrial computing..

Chapter 1. Design and Fabrication of Hybrid Land-Air Vehicle -- Chapter 2. Pixel Value Differencing of Image Steganography in Substitution Technique : A Survey -- Chapter 3. Newspaper Text Recognition Printed in Gurumukhi Script: SVM vs. MLP -- Chapter 4. Bound Constructive Fraud and Implementing Dual Accessibility Approach on Biometric Credit/Debit Cards -- Chapter 5. Automatic dimension detection of fish images -- Chapter 6. Privacy-Preserving of Cloud Storage Security -- Chapter 7. Mitigating Security Challenges in Smart Home Management Through Smart Lock -- Chapter 7. Quality efficiency of VoIP application using Hybrid Co-ordination Function -- Chapter 8. A Review of Algorithms for Secure Data Transmission in IoT Devices -- Chapter 9. The new phase of manufacturing: industry 4.0 -- Chapter 10. Summarization and Analysis of text using Network Theory.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

ISBN: 9789811598739$q(electronic bk.)

Standard No.: 10.1007/978-981-15-9873-9doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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520 $a This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
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