TY  - GEN
N2  - This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15-16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.
DO  - 10.1007/978-3-031-47055-4
DO  - doi
AB  - This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15-16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.
T1  - Sustainable development through machine learning, AI and IoT :first International Conference, ICSD 2023, Delhi, India, July 15-16, 2023, Revised selected papers /
AU  - Whig, Pawan,
AU  - Silva, Nuno,
AU  - Elngar, Ahmed A.,
AU  - Aneja, Nagender,
AU  - Sharma, Pavika,
VL  - 1939
CN  - Q325.5
N1  - Includes author index.
ID  - 1484216
KW  - Apprentissage automatique
KW  - Intelligence artificielle
KW  - Internet des objets
KW  - Développement durable
KW  - Machine learning
KW  - Artificial intelligence
KW  - Internet of things
KW  - Sustainable development
SN  - 9783031470554
SN  - 3031470559
TI  - Sustainable development through machine learning, AI and IoT :first International Conference, ICSD 2023, Delhi, India, July 15-16, 2023, Revised selected papers /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-47055-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-47055-4
ER  -