Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Professional & Technical > Energy technology & engineering > Electrical engineering

Buy Now

Advances in Distributed Computing and Machine Learning - Proceedings of ICADCML 2021 (Paperback, 1st ed. 2022) Loot Price: R7,617

Discovery Miles 76 170

Repayment Terms: R714 pm x 12*

Add to cart

Advances in Distributed Computing and Machine Learning - Proceedings of ICADCML 2021 (Paperback, 1st ed. 2022): Jyoti Prakash...

Advances in Distributed Computing and Machine Learning - Proceedings of ICADCML 2021 (Paperback, 1st ed. 2022)

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

Series: Lecture Notes in Networks and Systems, 302

(sign in to rate)

Loot Price R7,617 Discovery Miles 76 170 | Repayment Terms: R714 pm x 12*

Expected to ship within 10 - 15 working days

Description
Details
Customer Reviews

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Lecture Notes in Networks and Systems, 302
Release date:	December 2022
First published:	2022
Editors:	Jyoti Prakash Sahoo • Asis Kumar Tripathy • Manoranjan Mohanty • Kuan-Ching Li • Ajit Kumar Nayak
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	513
Edition:	1st ed. 2022
ISBN-13:	978-981-16-4809-0
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	981-16-4809-3
Barcode:	9789811648090