Mostrando 5 resultados de: 5
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Publisher
2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020(1)
Electronics Letters(1)
IEEE Communications Letters(1)
IEEE Transactions on Wireless Communications(1)
Journal of Communications and Networks(1)
Área de conocimiento
Aprendizaje automático(3)
Ciencias de la computación(2)
Comunicación(2)
Algoritmo(1)
Aprendizaje profundo(1)
Origen
scopus(5)
Breaking Wireless Propagation Environmental Uncertainty with Deep Learning
ArticleAbstract: Wireless propagation loss modeling has gained significant attention due to its critical importance iPalabras claves:deep learning, image segmentation, Path loss, Propagation model, Wireless CommunicationAutores:Lim W., Maier M., Manuel Eugenio Morocho-CayamcelaFuentes:scopusAccelerating wireless channel autoencoders for short coherence-time communications
ArticleAbstract: Traditional wireless communication theory is based on complex probabilistic models and fixed conjectPalabras claves:Autoencoders, Channel estimation, deep learning, physical layer, Wireless systemsAutores:Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusMachine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X
ArticleAbstract: Multi-hop relay selection is a critical issue in vehicle-to-everything networks. In previous works,Palabras claves:Machine learning, multi-hop wireless communication, Q-Learning, vehicle-to-everythingAutores:Lee H., Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusLateral confinement of high-impedance surface-waves through reinforcement learning
ArticleAbstract: The authors present a model-free policy-based reinforcement learning model that introduces perturbatPalabras claves:Autores:Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusLearning to Communicate with Autoencoders: Rethinking Wireless Systems with Deep Learning
Conference ObjectAbstract: The design and implementation of conventional communication systems are based on strong probabilistiPalabras claves:Autoencoders, Channel estimation, deep learning, physical layer, Wireless systemsAutores:Lim W., Manuel Eugenio Morocho-Cayamcela, Njoku J.N., Park J.Fuentes:scopus