Deep Learning Applications, Volume 4 (Paperback)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
- First Edition
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
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Add to basketItem description from seller
Paperback. 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. This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9789811961526
- Title
- Deep Learning Applications, Volume 4 (Paperback)
- Author
- M. Arif Wani
- Publisher
- Springer Verlag, Singapore, Singapore
- Publication year
- 2022
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 9811961522
- ISBN 13
- 9789811961526
- Edition
- 1st Edition
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.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Vasile Palade is currently a Professor of Artificial Intelligence and Data Science at Coventry University, UK. He previously held several academic and research positions at the University of Oxford - UK, University of Hull - UK, and the University of Galati - Romania. His research interests are in the area of machine learning, with a focus on neural networks and deep learning, and with main application to computer vision, social network data analysis and web mining, autonomous driving, smart cities, health, among others. Prof. Palade is author and co-author of more than 200 papers in journals and conference proceedings as well as several books on machine learning and applications. He is an Associate Editor for several reputed journals, such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Knowledge and Information Systems. He has delivered keynote talks to international conferences on machine learning and applications. Dr. Vasile Palade is an IEEE Senior Member.
"About the title" may belong to another edition of this title.
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