Compartir
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks (en Inglés)
Korhan Cengiz
(Ilustrado por)
·
Krishna Kant Singh
(Ilustrado por)
·
Akansha Singh
(Ilustrado por)
·
Wiley-Scrivener
· Tapa Dura
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks (en Inglés) - Singh, Krishna Kant ; Singh, Akansha ; Cengiz, Korhan
227,22 €
239,17 €
Ahorras: 11,96 €
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 03 de Julio y el
Lunes 15 de Julio.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks (en Inglés)"
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.
