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BLER performance evaluation of an enhanced channel autoencoder
ArticleAbstract: The concept of using autoencoders (AEs) to represent wireless communication systems as an end-to-endPalabras claves:Autoencoder, deep learning, End-to-end learning, modulation, neural network, Wireless communicationsAutores:Lim W., Manuel Eugenio Morocho-Cayamcela, Njoku J.N.Fuentes:scopusBreaking 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:scopusAn artificially structured step-index metasurface for 10GHz leaky waveguides and antennas
Conference ObjectAbstract: Metasurfaces can be engineered to guide surface waves in a homogeneous path, where sub-wavelength siPalabras claves:antenna, high impedance surface, leaky-lave, Metasurface, Surface wavesAutores:Angsanto S., Caliwag A., Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusAn optimal location strategy for multiple drone base stations in massive MIMO
ArticleAbstract: The concept of drone base stations (DBSs) has been applied to reduce the distance of the wireless liPalabras claves:Disaster scenario, massive MIMO, PATH PLANNING, Unmanned aerial vehicle, User associationAutores:Lim W., Maier M., Manuel Eugenio Morocho-CayamcelaFuentes:scopusDeep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
ArticleAbstract: This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks withiPalabras claves:Artificial Intelligence, Computer Vision, Image captioning, Supervised learning, visual attentionAutores:Israel Pineda, Lim W., Manuel Eugenio Morocho-Cayamcela, Roberto Castro IzurietaFuentes:googlescopusArtificial Intelligence in 5G Technology: A Survey
Conference ObjectAbstract: A fully operative and efficient 5G network cannot be complete without the inclusion of artificial inPalabras claves:5g networks, Artificial Intelligence, deep learning, IT Convergence, Machine learning, Next Generation NetworkAutores:Lim W., 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:scopusFine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time
Conference ObjectAbstract: In this paper, we present a real-time American Sign Language (ASL) hand gesture recognizer based onPalabras claves:Artificial Intelligence, Convolutional neural network, image classification, real-time, Sign Language, Transfer learningAutores: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:scopusMachine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
ArticleAbstract: Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be a key enablPalabras claves:5G mobile communication, Artificial Intelligence, B5G, Machine learning, Mobile Communication, Wireless CommunicationAutores:Lee H., Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopus