Cybernetics, Cognition and Machine Learning Applications (eBook)
XII, 236 Seiten
Springer Nature Singapore (Verlag)
978-981-19-1484-3 (ISBN)
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.
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 (S'91, M'92, SM'00, Fellow'15) since 1991 and elected AdCom Member of the IEEE Computational Intelligence Society (CIS) in 2014-2016.
Jan Haase (M'07, SM'09) 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.
As an IEEE volunteer, he currently is Germany Section's Chair, has been Austria Section's 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..
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.
Erscheint lt. Verlag | 15.9.2022 |
---|---|
Reihe/Serie | Algorithms for Intelligent Systems | Algorithms for Intelligent Systems |
Zusatzinfo | XII, 236 p. 163 illus., 132 illus. in color. |
Sprache | englisch |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik | |
Schlagworte | Cognition • Cybernetics • Data Science • ICCCMLA 2021 • ICCCMLA Proceedings • machine learning |
ISBN-10 | 981-19-1484-2 / 9811914842 |
ISBN-13 | 978-981-19-1484-3 / 9789811914843 |
Haben Sie eine Frage zum Produkt? |
Größe: 10,0 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich