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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 Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy
ArticleAbstract: The focus on renewable energy is increasing globally to lessen reliance on conventional sources andPalabras claves:biological hydrogen, continuous microbial electrolysis cell reactor, fractional transformations, Genetic Algorithm, H∞ control theory, non-smooth H∞ optimization, proportional integral derivative, renewable energies, system of differential equationsAutores:Carlos Martin-Barreiro, Leiva V., Liaquat R., Rahman M.Z.U., Rizwan M.Fuentes:googlescopusA new algorithm for computing disjoint orthogonal components in the parallel factor analysis model with simulations and applications to real-world data
ArticleAbstract: In this paper, we extend the use of disjoint orthogonal components to three-way table analysis withPalabras claves:Degeneracy, Disjoint components, heuristic algorithms, Parafac model, PCa, R Software, Three-way tablesAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Martin-Casado A., Purificación Galindo-Villardón, Xavier CabezasFuentes:googlescopusA new algorithm for computing disjoint orthogonal components in the three-way tucker model
ArticleAbstract: One of the main drawbacks of the traditional methods for computing components in the three-way TuckePalabras claves:greedy algorithms, heuristic algorithms, PCa, R Software, SINGULAR VALUE DECOMPOSITION, Three-way tables, Tucker3 modelAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Martin-Casado A., Nieto-Librero A.B., Purificación Galindo-VillardónFuentes:scopusA new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data
ArticleAbstract: Generation of massive data in the digital age leads to possible violations of individual privacy. ThPalabras claves:anonymity, Confidentiality, Data breach and fitting, Linear and logistic regressions, Monte carlo simulation, Perturbations of data, Statistical consistency and modelingAutores:Carlos Martin-Barreiro, Leiva V., Manchini C., 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:googlescopusA new birnbaum–saunders distribution and its mathematical features applied to bimodal real-world data from environment and medicine
ArticleAbstract: In this paper, we propose and derive a Birnbaum–Saunders distribution to model bimodal data. This nePalabras claves:Birnbaum–saunders distribution, data science, Estimation of moments and maximum likelihood, Monte Carlo method, Polynomial functions, Proportionate-effect law, R SoftwareAutores:Arrué J., Carlos Martin-Barreiro, Leiva V., Reyes J.Fuentes:googlescopusA new principal component analysis by particle swarm optimization with an environmental application for data science
ArticleAbstract: In this paper, we propose a new method for disjoint principal component analysis based on an intelliPalabras claves:Constrained binary particle swarm optimization, Data Mining, Disjoint principal components, Evolutionary computation, R Software, SINGULAR VALUE DECOMPOSITIONAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Nieto-Librero A.B., Purificación Galindo-VillardónFuentes:scopusA two-stage location problem with order solved using a lagrangian algorithm and stochastic programming for a potential use in covid-19 vaccination based on sensor-related data
ArticleAbstract: Healthcare service centers must be sited in strategic locations that meet the immediate needs of patPalabras claves:heuristic algorithm, Lagrangian and semi-Lagrangian relaxations, Mathematical pro-gramming, SARS-COV2, Sensing and data extraction, Simple plant and uncapacitated facility location problems, XPRESS softwareAutores:Carlos Martin-Barreiro, Erwin J. Delgado, García S., Leiva V., Xavier CabezasFuentes:googlescopus