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Congress on Intelligent Systems (eBook)

Proceedings of CIS 2020, Volume 1
Artikelnummer: 978-981-3369-81-8
Einband: PDF
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This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India during September 5 - 6, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles,intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.

This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India during September 5 - 6, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles,intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2021
Seitenangabe815 S.
AusgabekennzeichenEnglisch
AbbildungenXV, 815 p. 375 illus., 276 illus. in color.
Masse29'589 KB
PlattformPDF
ReiheAdvances in Intelligent Systems and Computing; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorSharma, Harish (Hrsg.) / Saraswat, Mukesh (Hrsg.) / Yadav, Anupam (Hrsg.) / Kim, Joong Hoon (Hrsg.) / Bansal, Jagdish Chand (Hrsg.)

Alle Bände der Reihe "Advances in Intelligent Systems and Computing; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Harish (Hrsg.) Sharma

Dr. Harish Sharma is an Associate professor at Rajasthan Technical University, Kota in the Department of Computer Science & Engineering since 2014. He has worked as an Assistant professor at Govt. Engg. College Jhalawar and Vardhman Mahaveer Open University Kota India. He is the secretary and one of the founder members of the Soft Computing Research Society of India. He is a lifetime member of the Cryptology Research Society of India, ISI, Kolkata. He has contributed to more than 125 papers published in various international journals and conferences. Dr. Abhishek Bhatt is presently working as Assistant Professor in the Centre for Artificial Intelligence, at the Madhav Institute of Technology & Science, Gwalior (Deemed University). He receives his Ph.D. degree in Machine learning and Computer Vision domain from the Indian Institute of Technology Roorkee in 2016. He has contributed to more than 100 papers published in various international journals and conferences. His research areas include AI/ML, Image Processing, spatiotemporal data analysis, and computer vision. Dr. Modi Chirag Navinchandra is working as an Associate Professor in the department of computer science and engineering at National Institute of Technology Goa (NIT Goa), India. He has currently a charge of Dean (R&C) at NIT Goa. He completed his PhD and M.Tech in Computer Engineering from NIT Surat in 2014 and 2010 respectively. His research areas include AI/ML, Cyber Security, Blockchain and smart grid energy management. He has successfully disseminated his research output in premier international conferences and journals with good number of citations. In addition, he holds 5 patents. He has received the Best Review Paper Award (2015) from JNCA, Elsevier, San Diego, USA, Best Paper Award from ICINPro 2021 conference and Young scientist award (2015) in cloud computing specialization by VIFRA, Chennai. Prof. Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018).

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