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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)
Proceedings of the 2022 IEEE International Conference on Machine Learning and Applied Network Technologies, ICMLANT 2022(1)
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Ciencias de la computación(3)
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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:googlescopusSofia: 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