Mostrando 5 resultados de: 5
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Conference Object(5)
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2020 IEEE ANDESCON, ANDESCON 2020(2)
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021(1)
Computational Methods in Applied Sciences(1)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
BeetleID: An Android Solution to Detect Ladybird Beetles
Conference ObjectAbstract: In this work, an Android mobile application named BeetleID was developed to detect ladybird beetlesPalabras claves:Android Application, Coccinelidae species detection, Deep learning models, image pre-processingAutores:Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Emilia Peñaherrera-Romero, Giovanni M. Ramón-Cabrera, Noel Perez, Ricardo MurielFuentes:scopusHammerhead shark detection using regions with convolutional neural networks
Conference ObjectAbstract: Over the years, the illegal catch of sharks in the Pacific Ocean for Asians fin markets has drasticaPalabras claves:deep learning, Faster R-CNN, hammerhead shark detection and tracking, object detection, object tracking, Real-time detector, ResNet50Autores:Alex R. Hearn, Diego S. Benitez, Gabriela Ulloa, Noel Perez, Vicente A. VasconezFuentes:googlescopusTowards a low-cost embedded vehicle counting system based on deep-learning for traffic management applications
Conference ObjectAbstract: This paper explores the feasibility of using a low-cost embedded system for real-time vehicle detectPalabras claves:Centroid, Deep-learning, Kalman filter, Neural computer stick (NCS2), Raspberry PI, tracking, Vehicle recognition, YOLOv4 tinyAutores:Daniel Riofrio, Diego S. Benitez, Josue Navarro, Noel Perez, Ricardo Flores MoyanoFuentes:scopusTowards automatic classification of mosquito species based on wing geometrical features
Conference ObjectAbstract: This paper presents an initial version of a system for the automated classification of mosquitoes spPalabras claves:Automated classification, Geometrical features, Mosquito species, Supervised learningAutores:Dennis Carrillo, Diego S. Benitez, Giovanni M. Ramón-Cabrera, Noel PerezFuentes:scopusSpontaneous intracerebral hemorrhage image analysis methods: A survey
Conference ObjectAbstract: Spontaneous intracerebral hemorrhages (ICH) account for 10-30% all strokes and are a result of acutePalabras claves:Autores:Guevara M.A., Noel Perez, Silva A., Valdés J.A.Fuentes:googlescopus