Mostrando 7 resultados de: 7
Filtros aplicados
Publisher
Institute of Electrical and Electronics Engineers Inc.(2)
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021(1)
2021 IEEE Chilean Conference on Electrical Electronics Engineering Information and Communication Technologies Chilecon 2021(1)
2021 IEEE Colombian Conference on Applications of Computational Intelligence Colcaci 2021 Proceedings(1)
2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings(1)
Área temáticas
Métodos informáticos especiales(4)
Animales(2)
Ciencias de la computación(2)
Enfermedades(2)
Medicina y salud(2)
Área de conocimiento
Aprendizaje automático(2)
Aprendizaje profundo(2)
Ciencias de la computación(2)
Visión por computadora(2)
Biodiversidad(1)
Towards 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:scopusStock Price Analysis with Deep-Learning Models
Conference ObjectAbstract: Novel artificial intelligence prediction algorithms use deep learning techniques, i.e., recurrent nePalabras claves:Autoencoder, Conv2D, Deep learning, LSTM, pbkp_rediction, PREDICTION, Stocks, TIME SERIESAutores:Daniel Riofrio, Diego S. Benitez, Juan Arosemena, Noel Perez, Ricardo Flores MoyanoFuentes:scopusText-based CAPTCHA Vulnerability Assessment using a Deep Learning-based Solver
Conference ObjectAbstract: The focus of this work is to test the security offered by Text-based CAPTCHAs. We present differentPalabras claves:Computer Vision, convolutional neural networks, Deep learning, LeNet, Text-Based CAPTCHAsAutores:Daniel Aguilar, Daniel Riofrio, Diego S. Benitez, Noel Perez, Ricardo Flores MoyanoFuentes:scopusMelanoma Cancer Classification using Deep Convolutional Neural Networks
Abstract: Cancerous melanoma is a relatively rare skin lesion that, if detected, can cause death due to its hiPalabras claves:Classification, CNN, Deep learning, melanoma, Skin lesion, stratified k-fold cross-validationAutores:Cadena J.M., Diego S. Benitez, Felipe Grijalva, Noel Perez, Oscar E. Camacho, Ricardo Flores Moyano, Yovani Marrero-PonceFuentes:scopusTowards Automatic Animal Classification in Wildlife Environments for Native Species Monitoring in the Amazon
Abstract: Although critical for habitat and species conservation, camera trap image analysis is often manual,Palabras claves:Camera traps, conservation, Deep learning, Faster R-CNN, YOLOv5Autores:Daniel Riofrio, David Romo, Diego S. Benitez, Felipe Grijalva, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores Moyano, Zurita M.-J.Fuentes:scopusU-Net Variations for Spontaneous Intracranial Hemorrhages Detection on CT Images
Conference ObjectAbstract: Brain injuries represent one of the most severe medical problems that affect people health worldwidePalabras claves:Computerized tomography scan, Convolutional neural network, Deep learning, ICH, image segmentation, U-netAutores:Daniel Riofrio, Diego S. Benitez, Luis A. Erazo, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores MoyanoFuentes:googlescopusOn the Use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon
OtherAbstract: Camera trap image analysis, although critical for habitat and species conservation, is often a manuaPalabras claves:Camera traps, conservation, Deep learning, Faster R-CNN, YOLOv5Autores:Daniel Riofrio, David Romo, Diego S. Benitez, Felipe Grijalva, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores Moyano, Zurita M.-J.Fuentes:scopus