Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models.

Vincenzo Piuri received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is a Full Professor in computer engineering at the University of Milan, Italy (since 2000), where he was also Department Chair (2007-2012). He was previously Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA. His main research interests include: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, dependability, and cloud computing infrastructures. Original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He is Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Transactions on Cloud Computing and IEEE Access, and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks and the IEEE Transactions on Instrumentation and Measurement. Sandeep Raj has been an Assistant Professor with the Department of Electronics and Communication Engineering, Indian Institute of Information Technology Bhagalpur, Sabour, India since 2018. Prior to this position (2012 - 20180, he was a was a Visiting Faculty with the National Institute of Technology Patna, India. His current research interests include digital signal processing, biomedical engineering, machine learning, internet-of-things (IoT), embedded systems design, and fabrication. He received the B. Tech. degree in Electrical and Electronics engineering from Allahabad Agricultural Institute – Deemed University, Allahabad, India, in 2009, the M. Tech. degree in electrical engineering (Gold-Medalist) and received DST INSPIRE Fellowship for pursuing the Ph.D. degree in Electrical Engineering from Indian Institute of Technology Patna, Bihta, India, 2018. He is a member of IEEE and has published more than 11 SCI/Scopus journal articles, 5 conference papers and 1 book chapter. He is serving as a reviewer for several journals including IEEE Transactions on Industrial Electronics, IEEE Journal of Biomedical and Health Informatics, IEEE Signal Processing letters, IEEE Transactions on Instrumentation and Measurement, IEEE Access, Computer Methods and Programs i