Mostrando 6 resultados de: 6
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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)
Proceedings - International Conference of the Chilean Computer Science Society, SCCC(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(4)
Métodos informáticos especiales(3)
Economía(1)
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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:googlescopusDesarrollo de modelo pbkp_redictivo basado en algoritmos de aprendizaje supervisado de Machine Learning, para el análisis de datos en pacientes con la enfermedad de Crohn.
Bachelor ThesisAbstract: La enfermedad de Crohn es determinada como preocupación a nivel mundial que como efecto puede ocasioPalabras claves:Árbol de Clasificación, classification tree, Crohn's disease, Enfermedad de Crohn, FACTORES DE RIESGO, Gradient Boosting Classification, Machine Learning, ,METODOLOGÍA XP, RISK FACTORS, XP MethodologyAutores:Elena de los Angeles Bajaña Diaz, Julio Barzola-Monteses, Rogelio David Loja YagualFuentes:rraaeAnálisis de técnicas de validación en modelos aprendizaje automático aplicadas en series tiempo de variable energéticas de un edificio universitario.
Bachelor ThesisAbstract: El ahorro de energía o reducción del consumo de energía es la forma más fácil y efectiva de reducirPalabras claves:Consumo energético, Cross validation, Energy consumption, Machine Learning supervisado, RF, SERIES DE TIEMPO, Supervised machine learning, SVR, TIME SERIES, validación cruzada, XGBoostAutores:John Andrés Robles García, Julio Barzola-MontesesFuentes: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:scopusEnergy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study
Conference ObjectAbstract: Buildings have a dominant presence in energy consumption for the transition to clean energy. DuringPalabras claves:electric load time series, energy efficiency building, Feed-forward neural networks, long short-Term memoryAutores:Eduardo Flores-Morán, Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Mónica Mite-LeónFuentes:googlescopusRelevant 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