TY  - GEN
N2  - This book includes selected papers from the International Conference on Green Technology for Smart City and Society (GTSCS 2020), organized by the Institute of Technical Education and Research, Siksha O Anusandhan University, Bhubaneswar, India, during 13-14 August 2020. The book covers topics such as machine learning, artificial intelligence, deep learning, optimization algorithm, IoT, signal processing, etc. The book is helpful for researchers working in the discipline of Electrical, Electronics and Computer Science. The researchers working in the allied domain of communication and control will also find the book useful as it deals with the latest methodologies and applications.
DO  - 10.1007/978-981-15-8218-9
DO  - doi
AB  - This book includes selected papers from the International Conference on Green Technology for Smart City and Society (GTSCS 2020), organized by the Institute of Technical Education and Research, Siksha O Anusandhan University, Bhubaneswar, India, during 13-14 August 2020. The book covers topics such as machine learning, artificial intelligence, deep learning, optimization algorithm, IoT, signal processing, etc. The book is helpful for researchers working in the discipline of Electrical, Electronics and Computer Science. The researchers working in the allied domain of communication and control will also find the book useful as it deals with the latest methodologies and applications.
T1  - Green technology for smart city and society :proceedings of GTSCS 2020 /
AU  - Sharma, Renu,
AU  - Mishra, Manohar,
AU  - Nayak, Janmenjoy,
AU  - Naik, Bighnaraj,
AU  - Pelusi, Danilo,
VL  - volume 151
CN  - TD159.4
ID  - 1432764
KW  - Green technology
KW  - Smart cities
KW  - Smart power grids
KW  - Sustainable engineering
KW  - Technologie de protection de l'environnement
KW  - Villes intelligentes
KW  - Réseaux électriques intelligents
KW  - Ingénierie durable
SN  - 9811582181
SN  - 9789811582189
TI  - Green technology for smart city and society :proceedings of GTSCS 2020 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-8218-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-8218-9
ER  -