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Machine Intelligence for Research and Innovations

E-BookPDF1 - PDF WatermarkE-Book
343 Seiten
Englisch
Springer Nature Singaporeerschienen am13.02.20241st ed. 2024
Verfügbare Formate
BuchKartoniert, Paperback
EUR192,59
E-BookPDF1 - PDF WatermarkE-Book
EUR181,89
E-BookPDF1 - PDF WatermarkE-Book
EUR213,99

Produkt

Details
Weitere ISBN/GTIN9789819981359
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2024
Erscheinungsdatum13.02.2024
Auflage1st ed. 2024
Reihen-Nr.831
Seiten343 Seiten
SpracheEnglisch
IllustrationenXVII, 343 p. 161 illus., 136 illus. in color.
Artikel-Nr.13436893
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
1. Energy Management System for EV with Multiple Energy Sources.- 2. Comparative Study of Hybrid/Enhanced Nature Inspired Optimization Algorithms for Solar Photovoltaic Model.- 3. A Study on Kerberos and Graphical Password based Web Authentication Scheme.- 4. Unsupervised Clustering of Asphalt Pavement Conditions using Fuzzy C-Means Algorithm with Principal Component Analysis Aided imensionality Reduction.- 5. Prediction of Heart Disease Risk in Early Ages with Boosting Techniques.- 6. Approach on Machine Learning Techniques for Anomaly-Based Web Intrusion Detection Systems: Using CICIDS2017 Dataset.- 7. Design and Development of a Charcoal-Based Sensor for Enhanced Soil Analysis in Precision Agriculturemehr

Autor

Dr. Om Prakash Verma is currently serving as Assistant Professor in the Department of Instrumentation and Control Engineering, Dr B R Ambedkar NIT Jalandhar. His research interests includes: Machine Vision, Machine, Deep and Quantum Learning, Applied Soft-Computing and UAV Autonomous System. He has credit for publishing more than 90+ research publications including international peer-reviewed SCI journals, patent applications, edited books, conferences and book chapters. He has associated with 06 research projects as PI and Co-PI funded by various funding agencies such as ISRO, MeitY, CSIR,etc. He has supervised 2 Ph.D and currently supervising 3 Ph.D students. He is a Senior Member of IEEE, and Member of IEEE Computational Intelligence Society, IEEE Control Systems Society, Automatic Control and Dynamic Optimization Society and life time member of Instrument Society of India and STEM Research Society. He is an associate editor of the International Journal of Security and Privacy in Pervasive Computing.

Dr. Lipo Wang is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, communications, control, and power systems. He has 350+ publications, a U.S. patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and guest editor for 15 journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.

Dr. Rajesh Kumar is working as a Professor in the Department of Electrical Engineering, MNIT, Jaipur. His research interests focus on Intelligent Systems, Machine Intelligence, Power Management, Smart Grid and Robotics. He has published over 550 research articles, has supervised 25 PhD and more than 35 M.Tech thesis. He has 14 patents to his name. He received 03 academic awards, 12 best paper awards, 06 best thesis award, 04 professional awards and 25- student award. He has received the Career Award for Young Teachers in 2002 from Govt. of India. He has been Associate Editor of IEEE Access, IEEE ITeN, Swarm and Evolutionary Computation, Elsevier, IET Renewable and Power Generation, IET Power Electronics, International Journal of Bio Inspired Computing and CAAI Transactions on Intelligence Technology, IET. He is a Senior Member IEEE (USA), Fellow IET (UK), Fellow IE (INDIA), Fellow IETE, Life Member CSI, Senior Member IEANG and Life Member IST.

Dr Anupam Yadav is an Associate Professor at the Department of Mathematics, Dr B R Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from the Indian Institute of Technology Roorkee and he worked as a research professor at Korea University. He has published several research articles in journals of international repute. Dr Yadav has authored a textbook entitled "An Introduction to neural network methods for differential equations. He has edited several books which are published by AISC, LNDECT Springer Series. Dr Yadav was the General Chair, Convener and member of the steering committee of several international conferences. He is a member of various research societies.