UID:
almahu_9948689570602882
Format:
XI, 597 p. 295 illus., 182 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9789811598739
Series Statement:
Studies in Autonomic, Data-driven and Industrial Computing,
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811598722
Additional Edition:
Printed edition: ISBN 9789811598746
Additional Edition:
Printed edition: ISBN 9789811598753
Language:
English
DOI:
10.1007/978-981-15-9873-9
URL:
https://doi.org/10.1007/978-981-15-9873-9
