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Communications in Computer and Information Science(12)
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Biomarkers of severe COVID-19 pneumonia on admission using data-mining powered by common laboratory blood tests-datasets
ArticleAbstract: In the epidemiological COVID-19 research, artificial intelligence is a unique approach to make prediPalabras claves:Blood gas analyses, Clinical laboratory techniques, COVID-19, data mining, Machine Learning, Medical informatics applicationsAutores:Esteban Fernández-Moreira, Francisco X. Mora, Hegira Ramírez, Kevin Chamorro, MARTHA FORS, Martha M. Fors-López, Mary Pulgar-Sánchez, Santiago J. BallazFuentes:googlescopusAnalysis of automated accounts and their influence on the opinion of twitter users in Ecuador
ArticleAbstract: The social media growth and their popularity throughout the world have been reasons to be used in orPalabras claves:Automated accounts, Data Mining, Machine Learning, Social botAutores:Gabriela Katherine Cevallos, Gordón M.Fuentes:scopusCBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population
OtherAbstract: In this work, we present the complete blood count data and PCR test results of a population of EcuadPalabras claves:ECUADOR, Hematological data, Machine Learning, SARS-CoV-2Autores:Dorn M., J. Meza Hormaza, Jaime Meza Hormaza, Jorge Parraga-Alava, Leticia Vaca-Cardenas, Luis Terán, Portmann E., Ricardo Ordoñez-AvilaFuentes:scopusCOVID-19 Pulmonary Lesion Classification Using CNN Software in Chest X-ray with Quadrant Scoring Severity Parameters
Conference ObjectAbstract: The Sars-Cov2 virus has caused the worst health emergency of the last decade. Furthermore, new straiPalabras claves:Chest X-ray, cnn, COVID-19, Lung lesion, Machine Learning, U-netAutores:Alejandro B. Lojan, Andrés Tirado-Espín, Daniel A. Amaguaña, Denisse N. Niles, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Graciela M. Salum, Noboa-Jaramillo A., Omar Santiago Alvarado CandoFuentes:googlescopusContribution of Governance and Socioeconomic Factors to the P. aeruginosa MDR in Europe
ArticleAbstract: This work aims to explain the behavior of the multi-drug resistance (MDR) percentage of PseudomonasPalabras claves:Corruption index, Data panel, Governance index, Machine Learning, multi-drug resistanceAutores:Jhoana P. Romero-Leiton, Prieto K., Riaño-Moreno J.Fuentes:scopusApplication of computational approach in plastic pyrolysis kinetic modelling: a review
ReviewAbstract: During the past decade, pyrolysis routes have been identified as one of the most promising solutionsPalabras claves:kinetics, Machine Learning, Plastic pyrolysis, quantum mechanics, Reaction pathwaysAutores:Gil S.A.A., J. M. Ramirez, Launay F., Muñoz M., Nyakuma B.B., Rams J., Wong S., Wuebben D.Fuentes:scopusArtificial and natural intelligence integration
Conference ObjectAbstract: The large amount of data generated by different activities -academic,scientific, business and industPalabras claves:data mining, Machine Learning, VisualizationAutores:Alvarado-PÉrez J.C., Diego Hernán Peluffo-OrdóñezFuentes:scopusDTMR: A Decision Tree-based Multimetric Routing Protocol for Vehicular Ad Hoc Networks
Conference ObjectAbstract: The emerging application of machine learning (ML) in different areas and the good results obtained hPalabras claves:Decision Trees, Machine Learning, multimetric routing protocol, Vehicular ad hoc networksAutores:Juan Pablo Astudillo León, Lemus Cárdenas L., Mohamad Mezher A., Mónica Aguilar IgartuaFuentes:scopusA Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry
Conference ObjectAbstract: This document presents a comparison of demand forecasting methods, with the aim of improving demandPalabras claves:Classical methods, Demand forecasting methods, Forecast error, Machine Learning, TEXTILE INDUSTRYAutores:Alemany M.d.M.E., Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusA New Data-Preprocessing-Related Taxonomy of Sensors for IoT Applications
ArticleAbstract: IoT devices play a fundamental role in the machine learning (ML) application pipeline, as they collePalabras claves:computational intelligence, data analytics, data pre-processing, Internet of Things, Machine Learning, SensorAutores:Diego Hernán Peluffo-Ordóñez, Lopez-Batista V.F., Paul D. Rosero-Montalvo, Vivian Félix López-BatistaFuentes:scopus