Description: Cybernetics, Cognition and Machine Learning Applications by Vinit Kumar Gunjan, P.N. Suganthan, Jan Haase, Amit Kumar Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. Publisher Description This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics. Author Biography Vinit Kumar Gunjan is an Associate Professor in the Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad) and an active researcher; he published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. He is awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology, Government of India. Senior member of IEEE and an active Volunteer of IEEE Hyderabad section – he is presently serving as secretary for IEEE CIS and volunteered in the capacity of Treasurer, Secretary and Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. He was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. During the tenure he had an honour of working with top leaders of IEEE and was awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.P N Suganthan is Professor at Nanyang Technological University, Singapore, and Fellow of IEEE. He is a founding Co-Editor-in-Chief of Swarm and Evolutionary Computation (2010–), an SCI Indexed Elsevier Journal. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited (Google Scholar Citations: ~33k). His SCI indexed publications attracted over 1000 SCI citations in a calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2018 in computer science. He served as the General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018–2020. He has been amember of the IEEE (S91, M92, SM00, Fellow15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014–2016.Jan Haase is Lecturer at Helmut Schmidt University of the Federal Armed Forces, Hamburg, and temporary professor at the University of LÜbeck. He is an active volunteer of IEEE and was IEEE Region 8 conference coordination subcommittee chair in 2013–2014. He was IEEE Austria Section Chair in 2010–2012. His research interests include embedded systems, modelling and simulation, and power estimation.Amit Kumar, Ph.D., is a passionate Forensic Scientist, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005, he founded the first Private DNA Testing Company BioAxis DNA Research Centre (P) Ltd in Hyderabad, India, with an US Collaborator. He has vast experience of training 1000+ crime investigation officers and helped 750+ criminal and non-criminal cases to reach justiceby offering analytical services in his laboratory. Amit was member of IEEE Strategy Development and Environmental Assessment Committee (SDEA) of IEEE MGA. He is senior member of IEEE and has been a very active IEEE Volunteer at Section, Council, Region, Technical Societies of Computational Intelligence and Engineering in Medicine and Biology and at IEEE MGA levels in several capacities. He has driven number of IEEE Conferences, conference leadership programmes, entrepreneurship development workshops, innovation and internship related events. Currently, he is also a Visiting Professor at SJB Research Foundation and Vice Chairman of IEEE India Council and IEEE Hyderabad Section. Details ISBN 9813366907 ISBN-13 9789813366909 Title Cybernetics, Cognition and Machine Learning Applications Author Vinit Kumar Gunjan, P.N. Suganthan, Jan Haase, Amit Kumar Format Hardcover Year 2021 Pages 439 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:143715039; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. 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ISBN-13: 9789813366909
Book Title: Cybernetics, Cognition and Machine Learning Applications
Number of Pages: Xii, 439 Pages
Language: English
Publication Name: Cybernetics, Cognition and Machine Learning Applications : Proceedings of Icccmla 2020
Publisher: Springer
Publication Year: 2021
Subject: Engineering (General), Intelligence (Ai) & Semantics, Probability & Statistics / General
Item Weight: 29.6 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Author: P. N. Suganthan
Item Length: 9.3 in
Item Width: 6.1 in
Series: Algorithms for Intelligent Systems Ser.
Format: Hardcover
