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ODS 9: Industria, innovación e infraestructura(3)
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scopus(4)
A 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:scopusComparison between two deep learning models for temperature prediction at guayaquil
Conference ObjectAbstract: Weather prediction is a subject that is constantly changing everywhere in the world because of the dPalabras claves:Artificial Intelligence, deep learning, GUAYAQUIL, Meteorology, Neural networks, Supervised algorithmsAutores:Beltran-Robayo N., Charles M. Pérez-Espinoza, Sanchez-Guerrero J., Teresa Samaniego-CoboFuentes:scopusAnalysis of Classification Algorithms for the Prediction of Purchase Intention in Electronic Commerce
Conference ObjectAbstract: The analysis focuses on data from an e-commerce retailer to identify the classification techniques fPalabras claves:classification algorithms, electronic commerce, Machine learning, Pbkp_rediction of purchaseAutores:Aguirre-Munizaga M., del Cioppo-Morstadt J., 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:scopus