Mission-oriented sensor networks and systems : art and science. Volume 2, Advances /

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 d...

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Bibliographic Details
Group Author: Ammari, Habib M
Published: Springer,
Publisher Address: Cham :
Publication Dates: [2019]
Literature type: Book
Language: English
Series: Studies in Systems, Decision and Control, volume 164
Subjects:
Summary: 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 conside
Carrier Form: xviii, 794 pages : illustrations (some color) ; 25 cm.
Bibliography: Includes bibliographical references.
ISBN: 9783319923833
3319923838
Index Number: TK7872
CLC: TP393.1
Call Number: TP393.1/M678/v.2
Contents: Introduction -- Autonomous Cooperative Routing for Mission-Critical Applications -- Using Models for Communication in Cyber-Physical Systems -- Urban Micro-Climate Monitoring Using IoT Based Architecture -- Digital Forensics for IoT and WSNs -- An Overview of Wearable Computing -- 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 -- DeepCharge: Next-generation Software-defined Wireless Charging Systems -- Robotic Wireless Se