Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2025, Volume 1 / / edited by Binayak Kar, Asis Kumar Tripathy, Wei-Chung Teng, Jyoti Prakash Sahoo, Mohammad S. Obaidat

• Autore: Kar Binayak
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (254 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Machine learning; Cooperating objects (Computer systems); Computational Intelligence; Artificial Intelligence; Machine Learning; Cyber-Physical Systems
• Altri autori: TripathyAsis Kumar TengWei-Chung SahooJyoti Prakash ObaidatMohammad S
• Sommario/riassunto: This book is a collection of peer-reviewed best selected research papers presented at the Sixth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2025), organized by Dept. of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan during January 9–10, 2025. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. The work is presented in two volumes.
• Titolo autorizzato: Advances in Distributed Computing and Machine Learning
• ISBN: 981-9667-21-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911022157103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1406