TY  - GEN
N2  - This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.
DO  - 10.1007/978-981-16-4807-6
DO  - doi
AB  - This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.
T1  - Advances in distributed computing and machine learning :proceedings of ICADCML 2021 /
DA  - 2022.
CY  - Singapore :
AU  - Sahoo, Jyoti Prakash.
AU  - Tripathy, Asis Kumar.
AU  - Mohanty, Manoranjan.
AU  - Li, Kuan-Ching.
AU  - Nayak, Ajit Kumar.
VL  - v. 302
CN  - QA76.9.D5
PB  - Springer,
PP  - Singapore :
PY  - 2022.
ID  - 1443633
KW  - Electronic data processing
KW  - Machine learning
KW  - Traitement réparti
KW  - Apprentissage automatique
SN  - 9789811648076
SN  - 9811648077
TI  - Advances in distributed computing and machine learning :proceedings of ICADCML 2021 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-4807-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-4807-6
ER  -