Machine learning and cognitive computing for mobile communications and wireless networks

"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...

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Bibliographic Details
Other Authors: Singh, Krishna Kant (Editor)
Format: eBook
Language: English
Published: Hoboken, NJ, USA : Wiley-Scrivener, 2020.
Subjects:
ISBN: 9781119640554
9781119640578
9781119640363
Physical Description: 1 online zdroj

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245 0 0 |a Machine learning and cognitive computing for mobile communications and wireless networks /  |c edited by Krishna Kant Singh, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India, Akansha Singh, Department of CSE, ASET, Amity University Uttar Pradesh, Noida, India, Korhan Cengiz, Electrical-Electronics Engineering Department, Trakya University, Edine, Turkey, and Dac-Nhuong Le, Faculty of Information Technology, Haiphong University, Vietnam. 
264 1 |a Hoboken, NJ, USA :  |b Wiley-Scrivener,  |c 2020. 
300 |a 1 online zdroj 
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337 |a počítač  |b c  |2 rdamedia 
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504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "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"- Resumé vydavatel 
590 |a John Wiley and Sons  |b Wiley Online Library All Obooks 
650 0 7 |a strojové učení  |7 ph126143  |2 czenas 
650 0 7 |a soft computing  |7 ph201888  |2 czenas 
650 0 7 |a mobilní komunikační systémy  |7 ph168761  |2 czenas 
650 0 7 |a bezdrátové sítě  |7 ph211948  |2 czenas 
650 0 7 |a inovace  |7 ph121118  |2 czenas 
650 0 9 |a machine learning  |2 eczenas 
650 0 9 |a soft computing  |2 eczenas 
650 0 9 |a mobile communication systems  |2 eczenas 
650 0 9 |a wireless networks  |2 eczenas 
650 0 9 |a innovations  |2 eczenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 7 |a sborníky  |7 fd163935  |2 czenas 
655 9 |a electronic books  |2 eczenas 
655 9 |a papers of several authors  |2 eczenas 
700 1 |a Singh, Krishna Kant  |q (Telecommunications professor),  |e editor. 
776 0 8 |i Print version:  |t Machine learning and cognitive computing for mobile communications and wireless networks.  |d Hoboken, NJ, USA : Wiley-Scrivener, 2020  |z 9781119640363  |w (DLC) 2020023352  |w (OCoLC)1157843811 
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