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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:scopusRelevant 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:googlescopus