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2020 IEEE ANDESCON, ANDESCON 2020(1)
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Deep learning to implement a statistical weather forecast for the andean city of quito
Conference ObjectAbstract: A weather forecast is classically based on the use of a Physical Model computing information from CoPalabras claves:automatic weather station, deep learning, Neural networks, Weather ForecastAutores:El Yacoubi S., Fontaine A., Pablo Anibal Lupera-Morillo, Ricardo L.Fuentes:scopus3D DoA estimation and the clustering in a multipath environment using root MUSIC, ESPRIT and K-means algorithms
Conference ObjectAbstract: The detection and clustering of signals sources in a multipath environment through the use of modeliPalabras claves:Array signal processing, clustering methods, direction of arrival (DOA)Autores:B. Olmos, Gloria Elena Jaramillo, Pablo Anibal Lupera-Morillo, Ricardo L.Fuentes:scopusOptimized Performance Evaluation of a Q-Learning Hard Handover Algorithm for Load Balancing
Conference ObjectAbstract: This paper presents a method for load balancing of cellular base stations based on self-organized nePalabras claves:handover, handover margin, Load balancing, Q-LearningAutores:Pablo Anibal Lupera-Morillo, Parreño Muirragui Carlos, Ricardo L., Viviana Cristina Parraga Villamar, Viviana ParragaFuentes:googlescopusComparison between Adam, AdaMax and Adam W optimizers to implement a Weather Forecast based on Neural Networks for the Andean city of Quito
Abstract:Palabras claves:Autores:Ricardo L.Fuentes:scopusA novel approach for detecting error measurements in a network of automatic weather stations
ArticleAbstract:Palabras claves:Autores:Ricardo L.Fuentes:scopusPerspectives on Climate Change Until 2030
Abstract:Palabras claves:Autores:Ricardo L.Fuentes:scopusClimatic Challenges of Quito
Abstract:Palabras claves:Autores:Ricardo L.Fuentes:scopusA Hyperparameter Optimization Strategy to Boost Fake News Detection
Abstract:Palabras claves:Autores:Ricardo L.Fuentes:scopus