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Deep Learning Applications, Volume 4 - 1st ed. 2023

By: (Edited by) M. Arif Wani , (Edited by) Vasile Palade

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Ksh 19,800.00

Format: Paperback / Softback

ISBN-10: 9811961522

ISBN-13: 9789811961526

Edition: 1st ed. 2023

Series: Advances in Intelligent Systems and Computing

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 26th, 2022

Print length: 384 Pages

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This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021).

This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.


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