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scopus(9)
Comparative study of distance measures for the fuzzy C-means and K-means non-supervised methods applied to image segmentation
Conference ObjectAbstract: Recent studies have revealed that the performance of the FCM and K-means is completely related to thPalabras claves:Clustering, image segmentation, Non-supervised algorithmsAutores:Josué Marín, Lorena Guachi-Guachi, Martín Vélez-Falconí, Selena JiménezFuentes:scopusComparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
ArticleAbstract: Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cPalabras claves:Artificial Intelligence, biomedical imaging, Cáncer, image segmentation, Machine learning, Mammography, Medical diagnostic imagingAutores:Anaya-Isaza A.J., Cabrera-Chavarro J.M., Diego Hernán Peluffo-Ordóñez, Lorena Guachi-Guachi, Mera-Jimenez L., Rios-Patino J.I.Fuentes:scopusA Chatterbot Based on Genetic Algorithm: Preliminary Results
Conference ObjectAbstract: Chatterbots are programs that simulate an intelligent conversation with people. They are commonly usPalabras claves:ChatBot, Evolutionary programming, Natural Language processingAutores:Cristian Orellana, Diego Hernán Peluffo-Ordóñez, Jeremy Yazán, Lorena Guachi-Guachi, Martín TobarFuentes:scopusConvolutional Neural Network for Background Removal in Close Range Photogrammetry: Application on Cultural Heritage Artefacts
Conference ObjectAbstract: Post-processing pipeline for image analysis in reverse engineering modelling, such as photogrammetryPalabras claves:Close range photogrammetry, cnn, Cultural heritage preservation, MobileNetV2, Reverse Engineering, U-netAutores:Bici M., Campana F., Gherardini F., Guachi Robinson, Lorena Guachi-GuachiFuentes:scopusCrop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches
Conference ObjectAbstract: Automatic crop classification using new technologies is recognized as one of the most important assePalabras claves:convolutional neural networks, deep learning, smart farmingAutores:Aalaila Y., Bamansour S., Diego Hernán Peluffo-Ordóñez, Elhamdi M., Juan González-Vergara, Lorena Guachi-Guachi, Raki H.Fuentes:scopusEnhanced convolutional-neural-network architecture for crop classification
ArticleAbstract: Automatic crop identification and monitoring is a key element in enhancing food production processesPalabras claves:Convolutional neural network (CNN), Crop classification, Post-processing, satellite imagesAutores:Diego Hernán Peluffo-Ordóñez, Gómez-Mendoza J.B., Javier E. Revelo-Fuelagán, Lorena Guachi-Guachi, Moreno-Revelo M.Y.Fuentes:scopusMultimodal background subtraction for high-performance embedded systems
ArticleAbstract: In many computer vision systems, background subtraction algorithms have a crucial importance to extrPalabras claves:Background subtraction, IMAGE PROCESSING, Video systemsAutores:Cocorullo G., Corsonello P., Frustaci F., Lorena Guachi-Guachi, Perri S.Fuentes:scopusLearning Style Identification by CHAEA Junior Questionnaire and Artificial Neural Network Method: A Case Study
Conference ObjectAbstract: By the lack of personalization in education, students obtain low performance in different subjects iPalabras claves:Artificial Neural Network, Automatic recognition, Learning styleAutores:Francisco Ortega-Zamorano, Guachi Robinson, Lorena Guachi-Guachi, Richard Torres-Molina, Stefania P.Fuentes:scopusPre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study
Conference ObjectAbstract: Old historical images are an invaluable source of knowledge that allows people to learn about past ePalabras claves:GANs, IMAGE PROCESSING, Old image restorationAutores:Bryan Jami, Lorena Guachi-Guachi, Marcelo Barba, Robinson PaspuelFuentes:scopus