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Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 2 / edited by Umakanta Nanda, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Mahasweta Sarkar, Kuan-Ching Li

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1015Publisher: Singapore : Springer Nature Singapore, 2024Publisher: Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XX, 482 p. 240 illus., 216 illus. in color.)ISBN:
  • 9789819735235
Subject(s): Additional physical formats: 9789819735228 | 9789819735242 | Erscheint auch als: 9789819735228 Druck-Ausgabe | Erscheint auch als: 9789819735242 Druck-AusgabeDOI: DOI: 10.1007/978-981-97-3523-5Online resources: Summary: This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by School of Electronics and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India, during 5–6 January 2024. 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.PPN: PPN: 1897904363Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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