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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:scopusA Machine Learning Study About the Vulnerability Level of Poverty in Perú
Conference ObjectAbstract: In recent years, people have been requiring new livelihoods that allow them to have enough economicaPalabras claves:ALGORITHMS, covid-19, Machine learning, POVERTYAutores:Charles M. Pérez-Espinoza, Peña Cáceres O.J.M., Ricalde Moran D.M., Silva Marchan H.A., Teresa Samaniego-CoboFuentes:scopusUsing 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:scopusRisk analysis of implanted electronic devices in human beings
Conference ObjectAbstract: This paper is a guide to risk analysis of implanted electronic devices in humans. The development ofPalabras claves:Electronic devices, Mitigation risk, security, Security attacks, vulnerabilitiesAutores:Bazán-Vera W., Bermeo-Almeida O., Charles M. Pérez-Espinoza, Duchimaza-Supliguicha J., Ferruzola-Gómez E., Teresa Samaniego-CoboFuentes:scopus