Deep Learning Applications, Volume 2 (Paperback, 1st ed. 2021)

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advances in Intelligent Systems and Computing, 1232
Release date:	September 2021
First published:	2021
Editors:	M. Arif Wani • Taghi M. Khoshgoftaar • Vasile Palade
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	300
Edition:	1st ed. 2021
ISBN-13:	978-981-15-6761-2
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-15-6761-1
Barcode:	9789811567612

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