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Data Driven Approach Towards Disruptive Technologies (eBook)

Proceedings of MIDAS 2020
ISBN: 978-981-1598-73-9
GTIN: 9789811598739
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.
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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AutorSingh, T P (Hrsg.) / Tomar, Ravi (Hrsg.) / Choudhury, Tanupriya (Hrsg.) / Perumal, Thinagaran (Hrsg.) / Mahdi, Hussain Falih (Hrsg.)
VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2021
Seitenangabe597 S.
AusgabekennzeichenEnglisch
AbbildungenXI, 597 p. 295 illus., 182 illus. in color.
Masse21'703 KB
PlattformPDF
ReiheStudies in Autonomic, Data-driven and Industrial Computing
ISBN978-981-1598-73-9

Über den Autor T P (Hrsg.) Singh

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