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| Autore: |
Whig Pawan
|
| Titolo: |
Sustainable Development through Machine Learning, AI and IoT : First International Conference, ICSD 2023, Delhi, India, July 15–16, 2023, Revised Selected Papers / / edited by Pawan Whig, Nuno Silva, Ahmed A. Elngar, Nagender Aneja, Pavika Sharma
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Edizione: | 1st ed. 2023. |
| Descrizione fisica: | 1 online resource (384 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | 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 | |
| Altri autori: |
SilvaNuno
ElngarAhmed A
AnejaNagender
SharmaPavika
|
| Nota di contenuto: | For Machine Learning based Papers -- IoT based Paper -- Artificial intelligence based Paper. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Sustainable Development through Machine Learning, AI and IoT ![]() |
| ISBN: | 9783031470554 |
| 3031470559 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910765487903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |