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Comparison between two deep learning models for temperature pbkp_rediction at guayaquil
Conference ObjectAbstract: Weather pbkp_rediction is a subject that is constantly changing everywhere in the world because of tPalabras claves:Artificial Intelligence, deep learning, GUAYAQUIL, Meteorology, Neural networks, Supervised algorithmsAutores:Beltran-Robayo N., Charles M. Pérez-Espinoza, Sanchez-Guerrero J., Teresa Samaniego-CoboFuentes:scopusUsing Multivariate Time Series Data via Long-Short Term Memory Network for Temperature Forecasting
Conference ObjectAbstract: This paper presents a Long-Short Term Memory, as a special kind of Recurrent Neural Network, capablePalabras claves:long short-Term memory, Multivariate Time Series, pbkp_rediction, Recurrent neural networks, TEMPERATUREAutores:Angélica María Cruz-Chóez, Charles M. Pérez-Espinoza, Jorge Misael Merchán Riera, Kevin Oswaldo Egas Arizala, Telmo Roque-ColtFuentes:googlescopusUsing a machine learning logistic regression algorithm to classify nanomedicine clinical trials in a known repository
Conference ObjectAbstract: Today, the nanotechnology is the most critical technology that helps in many scientific advances, bePalabras claves:Artificial Intelligence, Machine learning, Nanoinformatics, Nanomedicine, nanotechnology, Supervised algorithm, TEXT MININGAutores:Beltran-Robayo N., Charles M. Pérez-Espinoza, Jaramillo-Barreiro P., José Abel Alarcón Salvatierra, Rodriguez-Mendez A., Teresa Samaniego-CoboFuentes:scopus