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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
data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues;
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Machine Learning for Networking
This book constitutes the thoroughly refereed proceedings of the Second International Conference on ;...
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Machine-To-Machine Communications: Architectures, Technology, Standards, and Applications
With the number of machine-to-machine (M2M)-enabled devices projected to reach 20 to 50 billion by 2020, there is a critical need to;
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Machine-To-Machine Communications
With the number of machine-to-machine (M2M)-enabled devices projected to reach 20 to 50 billion by 2020, there is a critical need to;
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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 M;...
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Machine Learning for Networking
This book constitutes the thoroughly refereed proceedings of the Second International Conference on ;...
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Machine Learning and Intelligent Communications
This volume constitutes the refereed post-conference proceedings of the Third International Conferen;...
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Machine Learning and Intelligent Communications
This volume constitutes the refereed post-conference proceedings of the Fourth International Confere;...
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Machine Learning and Intelligent Communications
Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. Due to COVID-19 pandemic the conference was held virtually. The 55 revised full;
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Convergence of Communications, Navigation, Sensing and Services
comparable with the present scale of wireless communications. The area in which systems operate can vary from personal area network to global network;
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Machine Learning and Intelligent Communications
This two volume set constitutes the refereed post-conference proceedings of the Second International;...
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Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks
This book assists readers with understanding the key aspects, problems and solutions related to the design of proper Multiple Access;
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Information and Communications Security
This book constitutes the refereed proceedings of the 21th International Conference on Information a;...
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Future Machine-to-Machine Communications
This book is the essence of a scientific research endeavour aspired to tackle the challenges of ever-growing data traffic in mobile;
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Innovations in Satellite Communication and Satellite Technology
opportunities of satellite networks. Designed to be a self-contained reference, the book includes background technical material in an introductory;
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Performance and Security for the Internet of Things
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;
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Machine Learning for Future Fiber-Optic Communication Systems
concepts and techniques applied to key areas within optical communications and networking, reflecting the state-of-the-art research and industrial;
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Machine Learning Advances in Computing Renewable Energy and Communication
This book gathers selected papers presented at International Conference on Machine Learning, Advance;...
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Wireless and Satellite Systems
This two-volume set LNICST 280-281 constitutes the post-conference proceedings of the 10th EAI Inter;...
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Wireless and Satellite Systems
This two-volume set LNICST 280-281 constitutes the post-conference proceedings of the 10th EAI Inter;...
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Spoken Language Understanding
systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting;
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Power Talk
One of America's leading experts in linguistics explains how to develop successful, powerful, and effective communications tools, offering;
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Massive Machine Type Communications
communication (mMTC) is considered in the future 5G networks. One main challenge in mMTC is how to support massive connections with limited radio;
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Machine Learning with scikit-learn Quick Start Guide
Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;
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Advances in Cybernetics Cognition and Machine Learning for Communication Techn
This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and;
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