Machine learning and cognitive computing for mobile communications and wireless networks / (Record no. 69304)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03530nam a2200469Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1179144467 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203609.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200730s2020 nju ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119640554 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119640555 |
| -- | (electronic bk.) |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3/1 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning and cognitive computing for mobile communications and wireless networks / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Technological innovations. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Singh, Krishna Kant |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119640554 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, NJ, USA : |
| -- | Wiley-Scrivener, |
| -- | 2020. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 0# - | |
| -- | Print version record. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mobile computing |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Soft computing. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| -- | (OCoLC)fst01004795 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Soft computing. |
| -- | (OCoLC)fst01124115 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
No items available.