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A new approach to predicting 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, predicting cryptocurrency returns accurPalabras 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 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:googlescopusAn 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:googlescopusAn Equity-Based Optimization Model to Solve the Location Problem for Healthcare Centers Applied to Hospital Beds and COVID-19 Vaccination
ArticleAbstract: Governments must consider different issues when deciding on the location of healthcare centers. In aPalabras claves:facility location problem, Gini index, linear programming, multi-objective optimization, SARS-COV-2, Simulations, Spatial accessibility, two-step floating catchment area methodAutores:Carlos Martin-Barreiro, Erwin J. Delgado, Leiva V., Rojas F., Xavier CabezasFuentes:googlescopusDisjoint and functional principal component analysis for infected cases and deaths due to covid-19 in south american countries with sensor-related data
ArticleAbstract: In this paper, we group South American countries based on the number of infected cases and deaths duPalabras claves:data science, Disjoint and functional components, Infectious diseases, k-means clustering, Multivariate statistical methods, R Software, SARS-COV2, Sensing and data extractionAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Purificación Galindo-Villardón, Xavier CabezasFuentes: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:googlescopusModeling Inventory Cost Savings and Supply Chain Success Factors: A Hybrid Robust Compromise Multi-Criteria Approach
ArticleAbstract: Determining success factors for managing supply chains is a relevant aspect for companies. Then, modPalabras claves:food and nutrition services, Information Systems, intelligent inventory management, interoperability, inventory models, Multilevel models, pharmacies, RoCo models, Statistical modelingAutores:Carlos Martin-Barreiro, Huerta M., Leiva V., Rojas F., Wanke P.Fuentes:googlescopusOn a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19
ArticleAbstract: In this paper, we study a type of disease that unknowingly spreads for a long time, but by default,Palabras claves:ABC derivatives, Basic reproduction number, Equilibrium points, fractional derivatives, Laplace transform, Numerical Methods, SARS-COV-2, sensitivity and stability analysesAutores:Carlos Martin-Barreiro, Chesneau C., Leiva V., Rangasamy M.Fuentes:googlescopusWeibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery
ArticleAbstract: In this article, we propose a comparative study between two models that can be used by researchers fPalabras claves:binary trees, Harrell index, model diagnostics, non-normal regression, random forest, statistical software, survival statistical analysis, variable importance, Weibull modelAutores:Carlos Martin-Barreiro, Cavalcante T., Leiva V., Ospina R., Xavier CabezasFuentes:googlescopus