Cybernetics, Cognition and Machine Learning Applications
Springer Verlag, Singapore
978-981-19-1486-7 (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. 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 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..
Chapter 1. A Deep Learning Approach To Analyze Traffic Congestions For Effective Traffic Management.- Chapter 2. Building Energy Consumption Prediction Model using Machine Learning.- Chapter 3. An End-to-End GUI based Real Time Attendance System by Training Annotated Facial Data on YOLO v3 Algorithm.- Chapter 4. A Multi-factor Security Protocol for Wireless Payment-Secure Web Authentication using Mobile Devices.- Chapter 5. IoT Based Greenhouse Monitoring.- Chapter 6. HOME AUTOMATION USING TELEGRAM BOT.- Chapter 7. Application of IoT in Hospital Management.- Chapter 8. Vehicle Tracking by Using IOT Applications.- Chapter 9. Smart Vehicle and Smart Parking System using IOT.- Chapter 10. Automatic Water Irrigation System using IoT.- Chapter 11. Development of Safety Monitoring for an IOT-enabled smart Environment.- Chapter 12. LOW-COST ECG BASED HEART MONITORING SYSTEM WITH UBIDOTS PLATFORM.- Chapter 13. Design of hybrid soft computing techniques for estimation of suspended sedimentyield in Krishna River, India.- Chapter 14. QR BASED TICKET VERIFICATION AND PARKING SYSTEM.- Chapter 15. Design and Analysis of Uniformly Illuminated 8-way Wilkinson Power Divider for L-Band Applications.
| Erscheinungsdatum | 20.09.2023 |
|---|---|
| Reihe/Serie | Algorithms for Intelligent Systems |
| Zusatzinfo | 132 Illustrations, color; 31 Illustrations, black and white; XII, 236 p. 163 illus., 132 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Cognition • Cybernetics • Data Science • ICCCMLA 2021 • ICCCMLA Proceedings • machine learning |
| ISBN-10 | 981-19-1486-9 / 9811914869 |
| ISBN-13 | 978-981-19-1486-7 / 9789811914867 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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