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    Item type:Publication,
    Machine Learning Model of Digital Transformation Index for Mexican Households
    (2022)
    García, Alfredo
    ;
    Salazar, Vladimir
    ;
    Ponce, Hiram  
    Digital transformation refers to the change in all aspects of human society by the adoption of digital technologies. Different methodologies and measurements have been proposed to determine the level of digital transformation in regions or countries. In this work, we propose the creation of a digital transformation index for Mexican households using machine learning models for digital transformation measurement analysis and estimation. We include three dimensions in terms of the information and communication technologies infrastructure, availability of services, and usage. We also use a public dataset from the Mexican government to build and train three machine learning models. Experimental results validate that our methodology can deliver a digital transformation measurement using machine learning models consistently with 84% of accuracy and 84% of F1-score. We also prototype a simple web application using the best machine learning model found. We anticipate that measuring the digital transformation in companies, governments, and households allows better decisions in business intelligence and public policy. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Improving a Manufacturing Process using Recursive Artificial Intelligence
    (2021)
    Marmolejo Saucedo, José Antonio
    ;
    Rodríguez Aguilar, Román  
    ;
    Romero Perea, Uriel Abel
    ;
    Garrido Vaqueiro, Manuel
    ;
    Robredo Hernández, Regina
    This work explores the improvements that can be made in the process of parametrization of discrete-event simulation models. A manufacturing process is modeled through queuing systems and alternative decisions to perform production, transport, and merchandise handling tasks. The use of recursive artificial intelligence is suggested to improve the quality of the parameters used in the simulation model. Specifically, a vector support machine is used for statistical learning. A relevant characteristic of the proposed model is the integration of different information technology platforms so that the simulation can be recursive. ©2021, IFIP International Federation for Information Processing.
    Scopus© Citations 2  11  2