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Machine Learning, Advances in Computing, Renewable Energy and Communication - Proceedings of MARC 2020 (Hardcover, 1st ed. 2022) Loot Price: R7,765
Discovery Miles 77 650
Repayment Terms: R728 pm x 12*
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Machine Learning, Advances in Computing, Renewable Energy and Communication - Proceedings of MARC 2020 (Hardcover, 1st ed....

Machine Learning, Advances in Computing, Renewable Energy and Communication - Proceedings of MARC 2020 (Hardcover, 1st ed. 2022)

Anuradha Tomar, Hasmat Malik, Pramod Kumar, Atif Iqbal

Series: Lecture Notes in Electrical Engineering, 768

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Loot Price R7,765 Discovery Miles 77 650 | Repayment Terms: R728 pm x 12*

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This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17-18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes in Electrical Engineering, 768
Release date: August 2021
First published: 2022
Editors: Anuradha Tomar • Hasmat Malik • Pramod Kumar • Atif Iqbal
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 659
Edition: 1st ed. 2022
ISBN-13: 978-981-16-2353-0
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Computing & IT > General theory of computing > Systems analysis & design
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 981-16-2353-8
Barcode: 9789811623530

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