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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Applications of Machine Learning in Wireless Communications

Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data;

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Enabling Technologies for Next Generation Wireless Communications

application of machine learning and deep learning for wireless communication systems. The book also provides information on enabling business models;

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Machine Learning for Networking

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;

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Machine Learning for Networking

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;

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Machine Learning and Intelligent Communications

This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent;

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Machine Learning and Intelligent Communications

This volume constitutes the refereed post-conference proceedings of the Fourth International Conference on Machine Learning and Intelligent;

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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN;

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Artificial Intelligence for Communications and Networks

This book constitutes the post-conference proceedings of the Second EAI International Conference on Artificial Intelligence for;

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Machine Learning and Intelligent Communications

This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and;

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Wireless-Powered Backscatter Communications for Internet of Things

This book provides and assesses the techniques required for the realization of practical wireless-powered backscatter systems for large;

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Wireless-Powered Backscatter Communications for Internet of Things

This book provides and assesses the techniques required for the realization of practical wireless-powered backscatter systems for large;

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Wireless AI

signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning;

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Machine Learning and Intelligent Communications

schemes; applications of neural network and deep learning; decentralized learning for wireless communication systems; intelligent antennas design;

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Wireless and Satellite Systems

289 submissions. The papers are organized in topical sections on machine learning for satellite-terrestrial networks, human-machine;

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Wireless and Satellite Systems

289 submissions. The papers are organized in topical sections on machine learning for satellite-terrestrial networks, human-machine;

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Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks

Schemes for MTC (Machine-Type Communications) and IoT applications in 5G-and-beyond wireless networks. An overview of MTC applications and their;

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6G Mobile Wireless Networks

topics: 6G Use Cases, Requirements, Metrics and Enabling Technologies, PHY Technologies for 6G Wireless, Reconfigurable Intelligent Surface for;

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Energy-Efficient Underwater Wireless Communications and Networking

modeling, this publication is ideally designed for machine learning experts, IT specialists, government agencies, oceanic engineers, communication;

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Advanced Video Communications Over Wireless Networks

Wireless video communications encompass a broad range of issues and opportunities that serve as the catalyst for technical innovations. To;

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6G: The Next Horizon

The first book on 6G wireless presents an overall vision for 6G - an era of intelligence-of-everything - with drivers, key capabilities;

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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning;

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RF and Microwave Circuit Design for Wireless Communications

in designing applications for digital cellular telephony, wireless LANs, PCS, GaAs and high-speed silicon bipolar IC technology and low-power RF;

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OQAM/FBMC for Future Wireless Communications

OQAM/FBMC for Future Wireless Communications: Principles, Technologies and Applications introduces the concepts and key technologies;

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Massive Machine Type Communications

This SpringerBrief introduces the current research status on emerging multiple access schemes for mMTC, which provides an integrated;

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Federated Learning for Wireless Networks

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently;

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Artificial Intelligence in Wireless Robotics

-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization;

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