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Proceedings of International Conference on Scientific and Natural Computing: Proceedings of SNC 2021 de Dipti Singh

Proceedings of International Conference on Scientific and Natural Computing: Proceedings of SNC 2021: Algorithms for Intelligent Systems

Editat de Dipti Singh, Amit K. Awasthi, Ivan Zelinka, Kusum Deep
en Limba Engleză Paperback – 2 iun 2022
This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by Department of Applied Mathematics, Gautam Buddha University, Greater Noida in collaboration with IIT Roorkee and Technical University of Ostrava (VSB-TU) and technically sponsored by Soft Computing Research Society of India, held online during 5 – 6 February 2021. The topics include self-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic computing, genetic programming, particle swarm optimization, neuro computing, hybrid methods, deep learning, including convolutional neural networks, generative adversarial networks and auto-encoders, bio-inspired systems, data mining, data visualization, intelligent agents, engineering design optimization, multi-objective optimization, fault diagnosis, decision support, robotics, signal or image processing, system identification and modelling, systems integration, time series prediction, virtual reality, vision or pattern recognition, intelligent information retrieval, motion control and power electronics, Internet of Everything (IoE), control systems, and supply chain management.
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Specificații

ISBN-13: 9789811615306
ISBN-10: 9811615306
Ilustrații: XIII, 320 p. 130 illus., 110 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.47 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Algorithms for Intelligent Systems

Locul publicării:Singapore, Singapore

Notă biografică

Dr. Dipti Singh is currently working as an Assistant Professor at Department of Applied Mathematics, Gautam Buddha University, Greater Noida. She received her M.Sc(2002) and Ph.d(2007) degrees from Indian Institute of Technology, Roorkee. She has more than 30 papers in reffered journals of high impact factor/International conferences. She has contributed chapters in many books and also has one Edited book “Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications”, DOI:10.4018/978-1-4666-9885-7,to her credit. She has supervised 2 Ph.D thesis, 7 M.sc and 9 M.tech Dissertations. She is life member of Operations Research Society of India, Soft Computing Research Society of India and also Member of International Research Group Unconventional Algorithms and Computing, Czech (NAVY), University of Ostrava. She is the advisory board member of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests include Optimization Techniques, Nature Inspired Algorithms, Computational Intelligence, and their application to real life engineering problems.

Dr. Amit K. Awasthi is working as an Assistant Professor at Gautam Buddha University. He achieved Gold Medal in M. Sc. in Mathematics (1999) from M. J. P. Rohilkhand University, Bareilly. He received his Ph.D. in 2007 from Dr. B.R. Ambedkar University, Agra, in Cryptology. His main areas of research interests include Cryptography, Security Protocols, and Coding Theory. He has published more than 30 papers in international journal/conference/Cryptography Archives. He co-edited a volume of LNICST from Springer. He got the certificate for the most cited international research paper from (ESI). He was also appraised by By Elsevier Publishing (New York) for Significant contribution to the scientific community. Where he has served as associate editor in computer and electrical engineering. Currently, he is also serving for the Elsevier journal - computer standard and Interface. He is a member of Indian Mathematical Society, Group for Cryptographic Research, Cryptography Research Society of India, and Computer Society of India.

Ivan Zelinka is currently working at the Technical University of Ostrava (VSB-TU), Faculty of Electrical Engineering and Computer Science. He graduated consequently at Technical University in Brno (1995 – MSc.), UTB in Zlin (2001 – PhD) and again at Technical University in Brno (2004 – assoc. prof.) and VSB-TU (2010 - professor). Before academic career, he was an employed like TELECOM technician, computer specialist (HW+SW) and Commercial Bank (computer and LAN supervisor). During his career at UTB, he proposed and opened more than 10 different lectures series. He also has been invited for lectures at numerous universities in different EU countries as well as keynote and/or tutorial speaker. The field of his expertise if mainly on AI, unconventional algorithms and cybersecurity. He is and was responsible supervisor of numerous grant of fundamental research of Czech grant agency GAČR, co-supervisor of grant FRVŠ - Laboratory of parallel computing. He was also working on numerous grants and two EU project like a member of the team (FP5 - RESTORM) and supervisor (FP7 - PROMOEVO) of the Czech team and supervisor of international (security of mobile devices, Czech - Vietnam) and national applied research (founded by TACR agency). Currently, he is a professor at the Department of Computer Science and in total, he has been the supervisor of more than 50 MSc. and 25 Bc. diploma thesis. Ivan Zelinka is also supervisor of doctoral students including students from the abroad and a guarantor of magister study programme (Cybersecurity) and doctoral programme (Computer sciences). He was awarded by Siemens Award for his PhD thesis, as well as by journal Software news for his book about artificial intelligence. Ivan Zelinka is a member of British Computer Society, Editor in chief of Springer book series: Emergence, Complexity and Computation, Editorial board of Saint Petersburg State University Studies in Mathematics, a few international program committees of various conferences and international journals. He is the author of journal articles as well as of books in Czech and English language and one of three founders of TC IEEE on big data. He is also head of research group NAVY.

Dr. Kusum Deep, is a full Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, India and Visiting Professor, Liverpool Hope University, UK and University of Technology Sydney, Australia. With B.Sc Hons & M.Sc Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil Gold Medalist. She earned her PhD from UOR (now IIT Roorkee) in 1988. She has been a national scholarship holder and a Post Doctoral from Loughborough University, UK assisted by International Bursary fundedby Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award, UGC Career Award, Starred Performer of IITR Faculty, best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri, AIAP Excellence Award. She has authored two books, supervised 20 PhDs, and published 125 research papers. She is a Senior Member of ORSI, CSI, IMS and ISIM. She is the Executive Editor of International Journal of Swarm Intelligence, Inderscience. She is Associate Editor of Swarm and Evolutionary Algorithms, Elsevier and is on the editorial board of many journals. She is the Founder President of Soft Computing Research Society, India. She is the General Chair of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests are Evolutionary Algorithms, Swarm Intelligence and nature inspired optimization techniques and their applications

Textul de pe ultima copertă

This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by Department of Applied Mathematics, Gautam Buddha University, Greater Noida in collaboration with IIT Roorkee and Technical University of Ostrava (VSB-TU) and technically sponsored by Soft Computing Research Society of India, held online during 5 – 6 February 2021. The topics include self-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic computing, genetic programming, particle swarm optimization, neuro computing, hybrid methods, deep learning, including convolutional neural networks, generative adversarial networks and auto-encoders, bio-inspired systems, data mining, data visualization, intelligent agents, engineering design optimization, multi-objective optimization, fault diagnosis, decision support, robotics, signal or image processing, system identification and modelling, systems integration, time series prediction, virtual reality, vision or pattern recognition, intelligent information retrieval, motion control and power electronics, Internet of Everything (IoE), control systems, and supply chain management.

Caracteristici

Presents research works in the field of scientific and natural computing Provides original works presented at SNC 2021 held in Greater Noida, India Serves as a reference for researchers and practitioners in academia and industry