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A New Wavelet-Based Privatization Mechanism for Probability Distributions
ArticleAbstract: In this paper, we propose a new privatization mechanism based on a naive theory of a perturbation onPalabras claves:Artificial Intelligence, data fitting, database-sensor, digital image sensor, Machine learning, perturbation theory, Signal-to-Noise Ratio, Statistical modeling, waveletsAutores:Carlos Martin-Barreiro, Chesneau C., de Oliveira H.M., Leiva V., Ospina R.Fuentes:googlescopusA new approach to pbkp_redicting cryptocurrency returns based on the gold prices with support vector machines during the COVID-19 pandemic using sensor-related data
ArticleAbstract: In a real-world situation produced under COVID-19 scenarios, pbkp_redicting cryptocurrency returns aPalabras claves:Artificial Intelligence, data science, Digital currency, GOLD, Machine learning, SARS-COV-2, Sensing and data extractionAutores:Carlos Martin-Barreiro, Leiva V., Mahdi E., Mara’beh S.Fuentes:googlescopusLot-size models with uncertain demand considering its skewness/kurtosis and stochastic programming applied to hospital pharmacy with sensor-related COVID-19 data
ArticleAbstract: Governments have been challenged to provide timely medical care to face the COVID-19 pandemic. UnderPalabras claves:GAMLSS methodology, Machine learning, Non-Gaussianity, SARS-COV2, Sensing and data extraction, statistical moments, Two-stage optimization algorithmsAutores:Carlos Martin-Barreiro, Huerta M., Leiva V., Rojas F.Fuentes:googlescopus