Mostrando 9 resultados de: 9
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales.(2)
Communications in Computer and Information Science(1)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
Electronics (Switzerland)(1)
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Medicina y salud(4)
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Comparisons of Deep Learning Models to pbkp_redict Energy Consumption of an Educational Building
Conference ObjectAbstract: According to the latest United Nations Environment Programme report, in 2020, the construction and oPalabras claves:Artificial Neural Network, deep learning, energy consumption forecasting, GRU, LSTM, MLPAutores:Eduardo Flores-Morán, Franklin Ricardo Parrales Bravo, Julio Barzola-Monteses, Wendy Yánez-PazmiñoFuentes:googlescopusA study on the parallelization of moeas to pbkp_redict the patient’s response to the onabotulinumtoxina treatment
Conference ObjectAbstract: This work deals with the decrease of the computational cost in the task of feature weighting for thePalabras claves:Feature weighting, Migraine, MOEA, Parallelism, Pareto FrontAutores:Ayala J.L., Del Barrio García A.A., Franklin Ricardo Parrales BravoFuentes:scopusCaracterización de pacientes con preeclampsia mediante aprendizaje no supervisado.
Bachelor ThesisAbstract: La preeclampsia es una de las enfermedades hipertensivas más frecuentes durante el embarazo. SabiendPalabras claves:AGRUPAMIENTO, ALGORITMOS NO SUPERVISADOS, APRENDIZAJE NO SUPERVISADO, Clustering, Data Mining, EM, K-Means, MINERIA DE DATOS, Preeclampsia, UNSUPERVISED ALGORITHMS, unsupervised learningAutores:Franklin Ricardo Parrales Bravo, Jenniffer Odalis Saltos Cedeño, Josue Esteban Tomalá EsparzaFuentes:rraaeForecasting Energy Consumption in Residential Department Using Convolutional Neural Networks
Conference ObjectAbstract: During 2017, the construction and operation of buildings worldwide represented more than a third (36Palabras claves:buildings, cnn, CNN-LSTM, ConvLSTM, Energy efficiency, Pbkp_rediction models, TIME SERIESAutores:Franklin Ricardo Parrales Bravo, Julio Barzola-Monteses, Marcos Guerrero, Mayken Espinoza-AndaluzFuentes:scopusModelo de detección de intrusos para detectar y evitar la inserción de Malware en una red, basado en técnicas de aprendizaje automático.
Bachelor ThesisAbstract: Los ciberataques son uno de los principales problemas que afectan a las empresas a nivel mundial.Palabras claves:APRENDIZAJE AUTOMÁTICO, Ciberataque, Conjunto de datos, cyberattack, Data set, Feature Subset Selection, filter, Machine learning, Selección de subconjunto de características, wrapperAutores:Dayannara Cindy Avila Maldonado, Franklin Ricardo Parrales Bravo, Joel Torres-UrrestoFuentes:rraaeRelevant and Non-Redundant Feature Subset Selection Applied to the Detection of Malware in a Network
Conference ObjectAbstract: Removing redundant features is one of the goals addressed by the feature subset selection techniquesPalabras claves:cyberattack, Feature Subset Selection, filter, Machine learning, wrapperAutores:Dayannara Cindy Avila Maldonado, Franklin Ricardo Parrales Bravo, Joel Torres-Urresto, Julio Barzola-MontesesFuentes:googlescopusSMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments
ArticleAbstract: Deciding on the continuous treatment of chronic diseases is vital in terms of economy, quality of liPalabras claves:classification algorithms, Data Mining, Multi-target pbkp_rediction, Simulated AnnealingAutores:Ayala J.L., Del Barrio García A.A., Dzeroski S., Franklin Ricardo Parrales Bravo, Gago Veiga A.B., Gallego De La Sacristana M.M., Peral A.G., Piñero M.R.Fuentes:scopusPbkp_rediction of patient's response to OnabotulinumtoxinA treatment for migraine
ArticleAbstract: Migraine affects the daily life of millions of people around the world. The most well-known disablinPalabras claves:bioinformatics, Computer science, Medicine, neurologyAutores:Ayala J.L., Del Barrio García A.A., Franklin Ricardo Parrales Bravo, Gago Veiga A.B., Gallego M.M., Guerrero Peral Á.L., Ruiz M.Fuentes:scopusSofia: Selection of medical features by induced alterations in numeric labels
ArticleAbstract: This work deals with the improvement of multi-target pbkp_rediction models through a proposed optimiPalabras claves:feature selection, Feature weighting, GPU, multi-objective optimization, Multi-target classificationAutores:Ayala J.L., Del Barrio García A.A., Franklin Ricardo Parrales Bravo, Russo L.M.S.Fuentes:scopus