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Ammari H.M. (Ed.) Mission-Oriented Sensor Networks and Systems: Art and Science. Volume 2: Advances

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Ammari H.M. (Ed.) Mission-Oriented Sensor Networks and Systems: Art and Science. Volume 2: Advances
Springer, 2019. — 797 p. — (Studies in Systems, Decision and Control 164). — ISBN 978-3-319-92383-3.
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.
Table of contents
Introduction
Autonomous Cooperative Routing for Mission-Critical Applications
Using Models for Communication in Cyber-Physical Systems
Urban Microclimate Monitoring Using IoT-Based Architecture
Models for Plug-and-Play IoT Architectures
Digital Forensics for IoT and WSNs
Dependable Wireless Communication and Localization in the Internet of Things
User Incentivization in Mobile Crowdsensing Systems
Vehicular Ad Hoc/Sensor Networks in Smart Cities
An Overview of Wearable Computing
Wearables Security and Privacy
Wearable Computing and Human-Centricity
Wireless Transfer of Energy Alongside Information in Wireless Sensor Networks
Efficient Protocols for Peer-to-Peer Wireless Power Transfer and Energy-Aware Network Formation
Next-Generation Software-Defined Wireless Charging System
Robotic Wireless Sensor Networks
Middleware for Multi-robot Systems
Interference Mitigation Techniques in Wireless Body Area Networks
Radiation Control Algorithms in Wireless Networks
Subspace-Based Encryption
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