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An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
ArticleAbstract: Background: During the COVID-19 pandemic, there is a global demand for intelligent health surveillanPalabras claves:Artificial Intelligence, Defuzzification, Features extraction, Finite impulse response, Fuzzy membership and rules, Global system for mobile communication, internet of things, MIT-BIH database, QRS peaks, SARS-COV-2Autores:Akbar M.A., Carlos Martin-Barreiro, Leiva V., Rahman M.Z.U., Riaz M.T., Tahir A.Fuentes:googlescopusA 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:googlescopus