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Proceedings - IEEE International Symposium on Circuits and Systems(2)
Biosystems Engineering(1)
IEEE Sensors Journal(1)
IEEE Transactions on Artificial Intelligence(1)
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A Long Short-Term Memory-Based Interconnected Architecture for Classification of Grasp Types Using Surface-Electromyography Signals
ArticleAbstract: Reliable classification of grasp types from human limbs has become an important aspect used by appliPalabras claves:Bidirectional LSTM networks, biomedical signal processing, classification algorithms, Computer Architecture, deep learning, Electromyography, Feature Extraction, grasp types classification, Muscles, surface muscular signals, time series analysisAutores:Andres Erazo, Ko S.B.Fuentes:scopusA novel approach to identify the spectral bands that pbkp_redict moisture content in canola and wheat
ArticleAbstract: Due to the relevance of agriculture in economy and human development, the inclusion of technology inPalabras claves:deep learning, feature selection, Game theory, hyperspectral, Moisture Content, Plant phenotypingAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopusOptimizing a Multispectral-Images-Based DL Model, Through Feature Selection, Pruning and Quantization
Conference ObjectAbstract: The inclusion of technology in agriculture is highly relevant given the increasing global demand forPalabras claves:deep learning, Edge computing, feature selection, multispectral, pruning, quantizationAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopusImproving the Detection of Explosives in a MOX Chemical Sensors Array with LSTM Networks
ArticleAbstract: Entities throughout the world face the problem of detecting hidden explosives, where human and caninPalabras claves:classification, deep learning, Electronic nose, explosives, fast detection, Machine learning, sensor arraysAutores:Ana V. Guamán, Julio Torres-Tello, Ko S.B.Fuentes:googlescopusIdentifying useful features in multispectral images with deep learning for optimizing wheat yield pbkp_rediction
Conference ObjectAbstract: Since unmanned aerial vehicles have been utilized in plant phenotyping, they have revolutionarily imPalabras claves:artificial vision, convolutional neural networks, deep learning, Plant phenotyping, UAV, Wheat yield pbkp_redictionAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopus