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Advances in Intelligent Systems and Computing

Deep Learning Applications, Volume 2

Editors: Wani, M. Arif, Khoshgoftaar, Taghi M., Palade, Vasile (Eds.)

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  • Describes novel ways of using deep learning architectures for real-world applications
  • Discusses novel algorithms for deep learning networks
  • Serves as a reference resource for researchers and practitioners in academia and industry
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-981-15-6759-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-981-15-6758-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

Dr. M. Arif Wani is a Professor at the University of Kashmir, having previously served as a Professor at California State University, Bakersfield. He 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. His research interests are in the area of machine learning, with a focus on neural networks, deep learning, inductive learning, and support vector machines, and with application to areas that include computer vision, pattern recognition, classification, prediction, and analysis of gene expression datasets. He has published many papers in reputed journals and conferences in these areas. Dr. Wani has co-authored the book ‘Advances in Deep Learning,’ co-edited the book ‘Deep Learning Applications,’ and co-edited 17 conference proceeding books in machine learning and applications area. He is a member of many academic and professional bodies, e.g., the Indian Society for Technical Education, Computer Society of India, and IEEE USA. 

Dr. Taghi M. Khoshgoftaar is the Motorola Endowed Chair professor of the Department of computer and electrical engineering and Computer Science, Florida Atlantic University, and the Director of NSF Big Data Training and Research Laboratory. His research interests are in big data analytics, data mining and machine learning, health informatics and bioinformatics, social network mining, and software engineering. He has published more than 750 refereed journal and conference papers in these areas. He was the Conference Chair of the IEEE International Conference on Machine Learning and Applications (ICMLA 2019). He is the Co-Editor-in-Chief of the Journal of Big Data. He has served on organizing and technical program committees of various international conferences, symposia, and workshops. He has been a Keynote Speaker at multiple international conferences and has given many invited talks at various venues. Also, he has served as North American Editor of the Software Quality Journal, was on the editorial boards of the journals Multimedia Tools and Applications, Knowledge and Information Systems, and Empirical Software Engineering, and is on the editorial boards of the journals Software Quality, Software Engineering and Knowledge Engineering, and Social Network Analysis and Mining. 

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 image processing, social network data analysis and web mining, smart cities, health, among others. Dr. Palade is author and co-author of more than 170 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 Knowledge and Information Systems and Neurocomputing. He has delivered keynote talks to international conferences on machine learning and applications. Dr. Vasile Palade is an IEEE Senior Member.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Deep Learning-Based Recommender Systems

    Pages 1-23

    Alfarhood, Meshal (et al.)

  • A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images

    Pages 25-48

    Kamran, Sharif Amit (et al.)

  • Three-Stream Convolutional Neural Network for Human Fall Detection

    Pages 49-80

    Leite, Guilherme Vieira (et al.)

  • Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)

    Pages 81-99

    Sabir, Russell (et al.)

  • Automatic Solar Panel Detection from High-Resolution Orthoimagery Using Deep Learning Segmentation Networks

    Pages 101-122

    Mujtaba, Tahir (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-981-15-6759-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-981-15-6758-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning Applications, Volume 2
Editors
  • M. Arif Wani
  • Taghi M. Khoshgoftaar
  • Vasile Palade
Series Title
Advances in Intelligent Systems and Computing
Series Volume
1232
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-6759-9
DOI
10.1007/978-981-15-6759-9
Hardcover ISBN
978-981-15-6758-2
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XII, 300
Number of Illustrations
20 b/w illustrations, 108 illustrations in colour
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