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Machine Learning and Information Processing: Proceedings of ICMLIP 2020 by Debab

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9789813348585
Book Title
Machine Learning and Information Processing
ISBN
9789813348585
Subject Area
Electrical Engineering
Publication Name
Machine Learning and Information Processing: Proceedings of Icmlip 2020
Publisher
Springer Verlag, Singapore
Subject
Computer Science
Publication Year
2021
Type
Textbook
Format
Paperback
Language
English
Item Height
235mm
Author
Tushar Athawale, Debabala Swain, Prasant Kumar Pattnaik
Item Width
155mm
Item Weight
937g
Number of Pages
601 Pages

About this product

Product Information

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.

Product Identifiers

Publisher
Springer Verlag, Singapore
ISBN-13
9789813348585
eBay Product ID (ePID)
6046695016

Product Key Features

Subject Area
Electrical Engineering
Author
Tushar Athawale, Debabala Swain, Prasant Kumar Pattnaik
Publication Name
Machine Learning and Information Processing: Proceedings of Icmlip 2020
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2021
Type
Textbook
Number of Pages
601 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Volume
1311
Item Weight
937g

Additional Product Features

Series Title
Advances in Intelligent Systems and Computing
Country/Region of Manufacture
Singapore
Editor
Debabala Swain, Tushar Athawale, Prasant Kumar Pattnaik

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Value Added Tax Number:
  • GB 324767388
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