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Proceedings - IEEE International Symposium on Circuits and Systems(2)
2020 International Conference on Electronics, Information, and Communication, ICEIC 2020(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:scopusCanine orthosis adaptation for automatic operation with fuzzy control
Conference ObjectAbstract: This document outlines the design and implementation of a diffuse position controller, applied to aPalabras claves:Canine, Dog, Fuzzy, ORTHOSIS, RehabilitationAutores:Andres Erazo, Ko S.B., Mireya P. NacevillaFuentes:scopusEpipolar geometry on drones cameras for swarm robotics applications
Conference ObjectAbstract: Nowadays, Convolutional Neural Networks are commonly used in classification of images due to their aPalabras claves:convolutional neural networks, Drones, Epipolar geometry, ROS, Swarm-robotics, TensorFlowAutores:Andres Erazo, Eduardo Tayupanta, Ko S.B.Fuentes:scopusImproving 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