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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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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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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 and Intelligent Communications

This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent;

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

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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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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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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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Artificial Intelligence for Communications and Networks

carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on Deep Learning/Machine Learning on Information;

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Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks

efficient and reconfigurable access schemes deploying machine learning and optimization techniques to address the main requirements of MTC networks;

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Information Management and Machine Intelligence

of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation;

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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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Proceedings of the Second International Conference on Information Management and

covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and;

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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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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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Convergence of Communications, Navigation, Sensing and Services

Activities on integrated communications, navigation, sensing and services are urgently needed in a w;...

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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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Wireless-Powered Backscatter Communications for Internet of Things

outdoor environments. The book also sheds light on some of the recently evolving technologies such as artificial intelligence/ machine learning;

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Wireless-Powered Backscatter Communications for Internet of Things

outdoor environments. The book also sheds light on some of the recently evolving technologies such as artificial intelligence/ machine learning;

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Applications of Artificial Intelligence and Machine Learning

Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning;

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Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks - Real-time Applications

, and the use of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) techniques in smart healthcare, smart manufacturing;

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Mobile Edge Computing

learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster;

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Algorithms, Methods, and Applications in Mobile Computing and Communications

The proliferation of wireless communications has led to mobile computing, a new era in data communic;...

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