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Data driven approach towards disrupt...

(1998 :)

Data driven approach towards disruptive technologiesproceedings of MIDAS 2020 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data driven approach towards disruptive technologiesedited by T. P. Singh ... [et al.].
其他題名:	proceedings of MIDAS 2020 /
其他題名:	MIDAS 2020
其他作者:	Singh, T. P.
團體作者:
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xi, 597 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	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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