000 02475aaa a2200289 i 4500
005 20250902153801.0
008 250810s2020 -usa|||fr|||| 001 0 eng d
020 _a9781119640363
040 _aEG-GaU‬‬
_cEG-GaU‬‬
_dEG-GaU‬‬
_erda
082 0 4 _223
_a621.382
_bS.K.M
245 1 0 _aMachine learning and cognitive computing for mobile communications and wireless networks /
_cedited by Krishna Kant Singh, Akansha Singh, Korhan Cengiz and Dac-Nhuong Le
264 1 _aHoboken :
_bWiley-Scrivener,
_c2020
300 _a 253 pages :
_billustrations ;
_c23 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
504 _aIncludes bibliographical references and index.
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"-- Provided by publisher.
650 0 _aMobile computing
_932628
650 0 _aMachine learning.
700 1 _aSingh, Krishna Kant,
_eeditor.
_961994
700 1 _aSingh, Akansha,
_eeditor.
_961995
700 1 _aCengiz, Korhan,
_eeditor.
_961996
700 1 _aLe, Dac-Nhuong,
_eeditor.
_961997
942 _2ddc
_cBK
999 _c11647
_d11647