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Advances in Intelligent Systems and Computing
cover

Deep Learning Applications

Editors: Wani, M. Arif, Kantardzic, Mehmed, Sayed Mouchaweh, Moamar (Eds.)

  • Describes novel ways of using deep learning architectures for real-world applications
  • Discusses new algorithms for deep learning networks
  • Presents the results of using deep learning models for selected applications
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eBook $84.99
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: April 26, 2020
  • ISBN 978-981-15-1816-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $109.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: March 29, 2020
  • ISBN 978-981-15-1815-7
  • Free shipping for individuals worldwide
About this book

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition 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.

About the authors

Prof. M. Arif Wani completed his M.Tech. in Computer Technology at the Indian Institute of Technology, Delhi, and his Ph.D. in Computer Vision at Cardiff University, UK. Currently, he is a Professor at the University of Kashmir, having previously served as a Professor at California State University Bakersfield. His main research interests are in gene expression datasets, face recognition techniques/algorithms, artificial neural networks, and deep architectures. He has published many papers in reputed journals and conferences in these areas. He was honored with the International Technology Institute Award in 2002 by the International Technology Institute, California, USA. He is a member of many academic and professional bodies, e.g., the Indian Society for Technical Education, Computer Society of India, IEEE USA, and Optical Society of America.

Dr. Mehmed Kantardzic received his Ph.D. in Computer Science in 1980, M.S. in Computer Science in 1976, and B.S. in Electrical Engineering in 1972, all from the University of Sarajevo, Bosnia, and Herzegovina. He served as an Assistant, and Associate Professor at the University of Sarajevo, and later as Associate and since 2004 as Full Professor at the University of Louisville. Currently, he is the Director of the Data Mining Lab as well as the Director of CECS Graduate Studies at the CECS Department. His research focuses on data mining & knowledge discovery, machine learning, soft computing, click fraud detection and prevention, concept drift in streaming data, and distributed intelligent systems. Dr. Kantardzic is the author of six books including the textbook: “Data Mining: Concepts, Models, Methods, and Algorithms” (John Wiley, second edition, 2011) which is accepted for data mining courses at more than hundred universities in USA and abroad. He is the author of over 40 peer-reviewed journal publications, 20 book chapters, and over 200 reviewed articles in the proceedings of international conferences. His recent research projects are supported by NSF, KSTC, US Treasury Department, U.S. Army, and NASA. Dr. Kantardzic was selected as Fulbright Specialist in Information Technology in 2012. Dr. Kantardzic has served on the Editorial Boards for several international journals, and he is currently an Associate Editor for WIREs Data Mining and Knowledge Discovery Journal.

Prof. Moamar Sayed-Mouchaweh received his Ph.D. from the University of Reims, France. He was working as Associated Professor in Computer Science, Control, and Signal Processing at the University of Reims, France, in the Research Centre in Sciences and Technology of the Information and the Communication. In December 2008, he obtained the Habilitation to Direct Research (HDR) in Computer science, Control, and Signal Processing. Since September 2011, he is working as a Full Professor in the High National Engineering School of Mines Telecom Lille Douai (France), Department of Computer Science and Automatic Control. He edited and wrote several Springer books and served as a Guest Editor of several special issues of international journals. He also served as IPC Chair and Conference Chair of several international workshops and conferences. He is serving as a member of the Editorial Board of several international journals.

Buy this book

eBook $84.99
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: April 26, 2020
  • ISBN 978-981-15-1816-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $109.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: March 29, 2020
  • ISBN 978-981-15-1815-7
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning Applications
Editors
  • M. Arif Wani
  • Mehmed Kantardzic
  • Moamar Sayed Mouchaweh
Series Title
Advances in Intelligent Systems and Computing
Series Volume
1098
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-1816-4
DOI
10.1007/978-981-15-1816-4
Softcover ISBN
978-981-15-1815-7
Series ISSN
2194-5357
Edition Number
1
Number of Pages
X, 187
Number of Illustrations
5 b/w illustrations, 68 illustrations in colour
Topics