Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Released on by Krishna Kant Singh
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  • Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks Book Detail

  • Author : Krishna Kant Singh
  • Release Date : 2020-07-08
  • Publisher : John Wiley & Sons
  • Genre : Computers
  • Pages : 272
  • ISBN 13 : 1119640369
  • File Size : 60,60 MB
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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks by Krishna Kant Singh PDF Summary

Book Description: 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.

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Machine Learning for Mobile Communications

Machine Learning for Mobile Communications

File Size : 16,16 MB
Total View : 904 Views
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Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For