Sustainable Development through Machine Learning, AI and IoT First International Conference, ICSD 2023, Delhi, India, July 15–16, 2023, Revised Selected Papers /
Sustainable Development through Machine Learning, AI and IoT First International Conference, ICSD 2023, Delhi, India, July 15–16, 2023, Revised Selected Papers / [electronic resource] :
edited by Pawan Whig, Nuno Silva, Ahmed A. Elngar, Nagender Aneja, Pavika Sharma.
- 1st ed. 2023.
- XII, 376 p. 212 illus., 170 illus. in color. online resource.
- Communications in Computer and Information Science, 1939 1865-0937 ; .
- Communications in Computer and Information Science, 1939 .
For Machine Learning based Papers -- IoT based Paper -- Artificial intelligence based Paper.
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.
9783031470554
10.1007/978-3-031-47055-4 doi
Artificial intelligence.
Computer engineering.
Computer networks .
Machine learning.
Application software.
Software engineering.
Artificial Intelligence.
Computer Engineering and Networks.
Machine Learning.
Computer and Information Systems Applications.
Software Engineering.
Q334-342 TA347.A78
006.3
For Machine Learning based Papers -- IoT based Paper -- Artificial intelligence based Paper.
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.
9783031470554
10.1007/978-3-031-47055-4 doi
Artificial intelligence.
Computer engineering.
Computer networks .
Machine learning.
Application software.
Software engineering.
Artificial Intelligence.
Computer Engineering and Networks.
Machine Learning.
Computer and Information Systems Applications.
Software Engineering.
Q334-342 TA347.A78
006.3