Advances in Distributed Computing and Machine Learning 1

Data & IT

Advances in Distributed Computing and Machine Learning

Jyoti Prakash Sahoo • Asis Kumar Tripathy • Manoranjan Mohanty • Kuan-Ching Li • Ajit Kumar Nayak

Pocket

4179:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

Andra format:

Inbunden 4179:-

513 sidor
2022

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.

Författare: Jyoti Prakash Sahoo, Asis Kumar Tripathy, Manoranjan Mohanty, Kuan-Ching Li, Ajit Kumar Nayak
Format: Pocket/Paperback
ISBN: 9789811648090
Språk: Engelska
Antal sidor: 513
Utgivningsdatum: 2022-12-20
Förlag: Springer Verlag, Singapore