Overview
- Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures
- Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies
- Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches
Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)
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Table of contents (12 chapters)
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Front Matter
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Concepts of Deep Learning: Recognition Systems
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Front Matter
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Concepts of Deep Learning: Healthcare Systems
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Front Matter
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Real-Time Applications of Deep Learning
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Front Matter
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Back Matter
Keywords
About this book
This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.
- Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;
- Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies;
- Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.
Editors and Affiliations
About the editors
Dr. Manju Khari Is an Assistant Professor in Ambedkar Institute of Advanced Communication Technology and Research, Under Govt. Of NCT Delhi affiliated with Guru Gobind Singh Indraprastha University, Delhi, India. She is also the Professor- In-charge of the IT Services of the Institute and has experience of more than twelve years in Network Planning & Management. She holds a Ph.D. in Computer Science & Engineering from National Institute Of Technology Patna and She received her master's degree in Information Security from Ambedkar Institute of Advanced Communication Technology and Research, formally this institute is known as Ambedkar Institute Of Technology affiliated with Guru Gobind Singh Indraprastha University, Delhi, India. Her research interests are software testing, information security, optimization, Image processing and machine learning. She has 70 published papers in refereed National/International Journals & Conferences (viz. IEEE, ACM, Springer, Inderscience, and Elsevier), 06 book chapters in a springer. She is also co-author of two books published by NCERT of Secondary and senior Secondary School.
Dr. Rubén González Crespo has a Ph.D. in Computer Science Engineering. Currently, he is Vice-Chancellor of Academic Affairs and Faculty from UNIR and Global Director of Engineering Schools from PROEDUCA Group. He is an advisory board member for the Ministry of Education at Colombia and evaluator from the National Agency for Quality Evaluation and Accreditation of Spain (ANECA). He is a member of different committees at ISO Organization. Finally, he has published more than 200 papers in indexed journals and congresses.
Dr. Gopal Chaudhary is currently working as an assistant professor in Bharati Vidyapeeth's College of Engineering, Guru Gobind Singh Indraprastha University, Delhi, India. He holds a Ph.D. in Biometrics at the division of Instrumentation and Control engineering, Netaji Subhas Institute of Technology, University of Delhi, India. He received the B.E. degree in electronics and communication engineering in 2009 and the M.Tech. degree in Microwave and optical communication from Delhi Technological University (formerly known as Delhi College of Engineering), New Delhi, India, in 2012. He has 30 publications in refereed National/International Journals & Conferences (Elsevier, Springer, Inderscience) in the area of Biometrics and its applications. His current research interests include soft computing, intelligent systems, information fusion and pattern recognition. He has organized many conferences and special issues.
Dr Parul Arora is currently working as an assistant professor in Jaypee institute of information technology, Noida, India. She received her B.Tech degree from Kurukshetra University in 2003 and M. Tech degree from Maharishi Dayanand University in 2010. She received Ph.D. degree from NSIT, Delhi University in 2018. Her current research interests include soft computing, intelligent systems, information fusion and pattern recognition. He hasorganized many conferences and special issues.
Bibliographic Information
Book Title: Concepts and Real-Time Applications of Deep Learning
Editors: Smriti Srivastava, Manju Khari, Ruben Gonzalez Crespo, Gopal Chaudhary, Parul Arora
Series Title: EAI/Springer Innovations in Communication and Computing
DOI: https://doi.org/10.1007/978-3-030-76167-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-76166-0Published: 24 September 2021
Softcover ISBN: 978-3-030-76169-1Published: 25 September 2022
eBook ISBN: 978-3-030-76167-7Published: 23 September 2021
Series ISSN: 2522-8595
Series E-ISSN: 2522-8609
Edition Number: 1
Number of Pages: X, 209
Number of Illustrations: 12 b/w illustrations, 74 illustrations in colour
Topics: Computational Intelligence, Statistics, general, Mathematical Models of Cognitive Processes and Neural Networks, Communications Engineering, Networks, Computer Imaging, Vision, Pattern Recognition and Graphics