Overview
- Provides a concise and structured presentation of deep learning applications
- Introduces a large range of applications related to vision, speech, and natural language processing
- Includes active research trends, challenges, and future directions of deep learning
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 164)
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Table of contents (21 chapters)
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Front Matter
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Mission-Critical Applications and Cyber-Physical Systems
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Front Matter
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Crowdsensing and Smart Cities
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Front Matter
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Wearable Computing
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Front Matter
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Wireless Charging and Energy Transfer
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Front Matter
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Keywords
About this book
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
Editors and Affiliations
Bibliographic Information
Book Title: Mission-Oriented Sensor Networks and Systems: Art and Science
Book Subtitle: Volume 2: Advances
Editors: Habib M. Ammari
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-92384-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-92383-3Published: 01 October 2019
eBook ISBN: 978-3-319-92384-0Published: 18 September 2019
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVIII, 794
Number of Illustrations: 115 b/w illustrations, 188 illustrations in colour
Topics: Communications Engineering, Networks, Robotics and Automation, Control and Systems Theory