Sustainable Development through Machine Learning, AI and IoT (Paperback)

Pawan Whig

ISBN 10: 3031717287 / ISBN 13: 9783031717284

Editore: Springer International Publishing AG, Cham, 2024

Riguardo questo articolo

Paperback. This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 2728, 2024.The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations. This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 2728, 2024.The 38 full papers presented here were carefully reviewed and selected from 167 submissions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9783031717284

Dati bibliografici

• Titolo: Sustainable Development through Machine Learning, AI and IoT (Paperback)
• Editore: Springer International Publishing AG, Cham
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031717287
• ISBN 13: 9783031717284
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024.

The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.