Green Technology for Smart City and Society

• Utgivningsdatum: 2020-12-01
• Mått: 155 x 235 x 34 mm
• Vikt: 943 g
• Format: Häftad
• Språk: Engelska
• Serie: Lecture Notes in Networks and Systems
• Antal sidor: 597
• Förlag: Springer Verlag, Singapore
• ISBN: 9789811582172

• Elektronik och kommunikationer
• Artificiell intelligens

Dr. Renu Sharma has received her Ph.D. in Electrical Engineering from SOA University, Bhubaneswar, in 2014. At present, she has more than 20 years of teaching experience. She is a Senior Member of IEEE, Member IEEE, Life member ISTE and Life member ISSE. Her research areas are soft computing, solar photovoltaic systems, power system scheduling and wireless sensor networks. She has published more than 60 research papers in various reputed peer-reviewed international journals, conferences and book chapters. Dr. Manohar Mishra has completed his Ph.D. in Electrical Engineering in 2017. He has published more than 30 research papers in various reputed peer-reviewed international journals. His area of interest includes power system analysis, power system protection, signal processing, power quality and micro-grid system. Currently, he is serving as Guest Editor in different international journals with repute publishers like Springer and Inderscience. Dr. JanmenjoyNayak has received his Ph.D. in Computer Science and Engineering in 2016 from VSSUT, Burla. He has published more than 80 research papers in various reputed publishers. His area of interest includes data mining, nature-inspired algorithms and soft computing. He has edited Sixsix books and serving as Guest Editor in different international journals with repute publishers like Springer, Elsevier and Inderscience. His area of interest includes data mining, computational intelligence, soft computing and its applications.Dr. Bighnaraj Naik has received his Ph.D. in Computer Science and Engineering in 2016 from VSSUT, Burla. He has published more than 70 research papers in various reputed peer-reviewed international journals, conferences and book chapters. He has edited six books from various publishers such as Elsevier, Springer and IGI Global. His area of interest includes data mining, computational intelligence, soft computing and its applications. Currently, he is serving as Guest Editor in different international journals with repute publishers like Springer, Elsevier and Inderscience. Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. He is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier). His research interests include fuzzy logic, neural networks, information theory and evolutionary algorithms.

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