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 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India. Publisher Description This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, 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 Associate Professor in Department of Computer Science & Engineering and Dean of Academic affairs at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad).An active researcher; 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. 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, An active Volunteer of IEEE Hyderabad section; 2021 additional secretary; 2021 Vice Chairman - IEEE Computational Intelligence Society; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. Was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. He was awarded with outstanding 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 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 General Chair of the IEEE SSCI 2013. He is IEEE CIS Distinguished Lecturer (DLP) in 2018-2020. He has been Member of the IEEE (S91, M92, SM00, Fellow15) since 1991 and elected AdCom Member of the IEEE Computational Intelligence Society (CIS) in 2014-2016. Jan Haase (M07, SM09) received his Bachelor, Master, and Ph.D. degree in computer sciences at University of Frankfurt/Main, Germany. Then he was project leader of several research projects at University of Technology in Vienna, Austria, at the Institute of Computer Science and a lecturer at Helmut Schmidt University, Hamburg, where he received his habilitation grade. 2016–2020 he held a temporal professorship for Organic Computing at University of Luebeck, Germany and now is a full professor at Nordakademie near Hamburg, Germany.His main interests are Building Automation, System Specification and Modeling, Simulation, Low-Power Design Methodologies, Wireless Sensor Networks, Automatic Parallelization and modern Computer Architectures. As a member of several technical program committees of international conferences he is involved in the review process of many research publications and repeatedly acted as TPC chair, track chair, etc. at these conferences. He (co)-authored more than 100 peer reviewed journal and conference papers and several book chapters.As an IEEE volunteer, he currently is Germany Sections Chair, has been Austria Sections Chair and is active in IEEE R8, having been R8 Conference Coordinator, R8 Professional Activities Chair, and a member of several R8 committees. In IEEE Industrial Electronics Society, he is a voting AdCom member. On IEEE HQ level he currently serves on the Conference Finance Committee and chaired the Adhoc on Cultural Differences in the IEEE Conferences Committee. He also continuously served as a mentor on the IEEE VoLT program since the very first season. Amit Kumar, Ph.D., A DNA Forensics Professional, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded the first Private DNA Testing Company Bio Axis 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 justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. 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 a number of IEEE Conferences, Conference leadership programs, Entrepreneurship development workshops, Innovation and Internship related events. Amit was Chairman of IEEE Hyderabad section in 2020 and He was visiting Professor at SJB Research Foundation till 2020. He was awarded the prestigious IEEE MGA Achievement award in 2020 for the outstanding contributions at Section, Council and Region levels. Currently He is member of IEEE MGA Nominations and Appointments committee and Chairman of IEEE Region 10 Section Chapter committee. He was winner of IEEE MGA Achievement award and IEEE India council outstanding volunteer award in 2020.. Details ISBN 9811914834 ISBN-13 9789811914836 Title Cybernetics, Cognition and Machine Learning Applications Author Vinit Kumar Gunjan, P.N. Suganthan, Jan Haase, Amit Kumar Format Hardcover Year 2022 Pages 236 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:160018396; 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: 9789811914836
Book Title: Cybernetics, Cognition and Machine Learning Applications
Number of Pages: Xii, 236 Pages
Language: English
Publication Name: Cybernetics, Cognition and Machine Learning Applications : Proceedings of Icccmla 2021
Publisher: Springer
Subject: Engineering (General), Information Theory, Intelligence (Ai) & Semantics, Probability & Statistics / General
Publication Year: 2022
Item Weight: 20.7 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: P. N. Suganthan
Item Width: 6.1 in
Series: Algorithms for Intelligent Systems Ser.
Format: Hardcover
