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A Comparative Study of Reinforcement Learning Algorithms Applied to Medical Image Registration
Conference ObjectAbstract: Nowadays, several medical procedures depend on the comparison and combination of images obtained inPalabras claves:deep Q networks, Image registration, Machine Learning, Q-Learning, Reinforcement learningAutores:Ballarin V.L., Meschino G., Ramiro Fernando Isa-JaraFuentes:scopusSoftware Frameworks that Improve HCI Focused on Cognitive Cities. A Systematic Literature Review
Conference ObjectAbstract: Due to the technological advances, the reference frameworks to carry out web and mobile applicationsPalabras claves:Cognitive cities, framework, HCI, Machine Learning, Smart citiesAutores:Bryan Marcillo-Delgado, Gema Giler-Velásquez, Leticia Vaca-Cardenas, Mónica Vaca-CárdenasFuentes:scopusModel-Driven Intelligent User Interfaces Using Machine Learning
OtherAbstract: Intelligent User Interfaces (IUI) are being used in various fields of knowledge such as health, educPalabras claves:Design Science, Intelligent User Interfaces, Machine Learning, model-driven engineering, Software developers, Software EngineeringAutores:Carlos Iñiguez-Jarrín, Julio Sandobalin, Pedro Aguilar-EncarnacionFuentes:scopusA hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms
ArticleAbstract: Digital transformation has enabled the industrial sector to digitize all of its production processesPalabras claves:Machine Learning, Predictive maintenance, Reinforcement learning, Supervised learningAutores:Danilo Chavez. Orcid, Diego Vargas, Jorge Paredes, Ramiro Fernando Isa-JaraFuentes:scopusPredicting the impact of adding metakaolin on the flexural strength of concrete using ML classification techniques – a comparative study
ArticleAbstract: The structural design standards, particularly in concrete technology, heavily rely on the mechanicalPalabras claves:cement, concrete, ensemble classification regression, flexural strength, Machine Learning, MetakaolinAutores:Ebid A.M., Fredy Barahona, Hugo Rolando Sanchez Quispe, Luis Velastegui, Nancy Velasco, Onyelowe K.C., Shadi Hanandeh, Trust God A. JohnFuentes:scopusHexagonal Architecture and Machine Learning for Cocoa Disease Management in a Mobile App
OtherAbstract: This study presents a technological solution for the early detection of moniliasis in cocoa plantatiPalabras claves:ensemble learning, Hexagonal Architecture, Machine Learning, Moniliophthora perniciosa, Smart agricultureAutores:Keylly Chavez, Patricio Sailema, Veronica Defaz, Wilson ChangoFuentes:scopusEnhancing Immunoglobulin G Goat Colostrum Determination Using Color-Based Techniques and Data Science
ArticleAbstract: Circulating immunoglobulin G (IgG) concentrations in newborn goat kids are not sufficient to protectPalabras claves:Colostrum, decision tree, Deep learning, IgG prediction, Immunoglobulin G, Machine Learning, Neural networkAutores:A. Morales-delaNuez, Argüello A., Castro N., Hernandez-Castellano L.E., M. González-Cabrera, Manuel Betancor-SánchezFuentes:scopusWeb Application Based on Artificial Intelligence for the Control of Healthy Habits in People with Unbalanced Diet in Lima
ArticleAbstract: This study presents the development of a web application designed to promote healthy habits using arPalabras claves:Artificial intelligence, exercise routine assistance, food recommendation, Healthcare, Machine Learning, Web Application, weight controlAutores:Alejandra Oñate-Andino, David Mauricio, Gerardo Josue Huerta-Macedo, Julissa Karol Ponte-Isminio, Pedro Castañeda, Sandra Wong-DurandFuentes:scopusFrom Iterative Methods to Neural Networks: Complex-Valued Approaches in Medical Image Reconstruction
ArticleAbstract: Complex-valued neural networks have emerged as an effective instrument in image reconstruction, exhiPalabras claves:Born iterative method, complex valued neural network, convolutional neural networks, Deep learning, inverse scattering problem, Machine Learning, microwave imagingAutores:Alexandra Macarena Flores, César Palacios-Arias, María Belén Paredes, María José López, Omar Darío Delgado, Víctor José HuilcaFuentes:scopusFast and Accurate CNN-Based Machine Learning Approach for Microwave Medical Imaging in Cancer Detection
ArticleAbstract: The application and comparison of U-Net convolutional neural network architectures is proposed in thPalabras claves:Born iterative method, Breast Cancer, convolutional neural networks, inverse scattering problem, Machine Learning, tumor segmentationAutores:Alexandra Macarena Flores, Costanzo S., Giovanni BuonannoFuentes:scopus