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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
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Ajouter au panierPaperback. Etat : Brand New. 194 pages. 6.14x0.46x9.21 inches. In Stock.
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Ajouter au panierhardcover. Etat : Fine.
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Vendeur : California Books, Miami, FL, Etats-Unis
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Ajouter au panierEtat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 453.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2020
ISBN 10 : 1119640369 ISBN 13 : 9781119640363
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Ajouter au panierHardcover. Etat : new. Hardcover. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierPaperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Wiley-Scrivener 2020-06-09, 2020
ISBN 10 : 1119640369 ISBN 13 : 9781119640363
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Ajouter au panierHardcover. Etat : New.
Langue: anglais
Edité par John Wiley and Sons Inc, US, 2020
ISBN 10 : 1119640369 ISBN 13 : 9781119640363
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierHardback. Etat : New. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.