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2019 International Conference on Computing, Networking and Communications, ICNC 2019(1)
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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: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:googlescopusFine-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:scopusPattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture
ArticleAbstract: In this paper, we study a deep learning (DL)-based multimodal technology for military, surveillance,Palabras claves:Autores:Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopus