02864nam 22006615 450 991102215710332120250829130208.0981-9667-21-610.1007/978-981-96-6721-5(MiAaPQ)EBC32274312(Au-PeEL)EBL32274312(CKB)40630393900041(DE-He213)978-981-96-6721-5(OCoLC)1544970835(EXLCZ)994063039390004120250829d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances 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. Obaidat1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (254 pages)Lecture Notes in Networks and Systems,2367-3389 ;1406981-9667-20-8 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.Lecture Notes in Networks and Systems,2367-3389 ;1406Computational intelligenceArtificial intelligenceMachine learningCooperating objects (Computer systems)Computational IntelligenceArtificial IntelligenceMachine LearningCyber-Physical SystemsComputational intelligence.Artificial intelligence.Machine learning.Cooperating objects (Computer systems)Computational Intelligence.Artificial Intelligence.Machine Learning.Cyber-Physical Systems.006.3Kar Binayak1845621Tripathy Asis Kumar1372576Teng Wei-Chung1845622Sahoo Jyoti Prakash1372577Obaidat Mohammad S523170MiAaPQMiAaPQMiAaPQBOOK9911022157103321Advances in Distributed Computing and Machine Learning4429436UNINA