Examinando por Materia "Artificial Intelligence"
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Ítem Artificial Intelligence for Modelling Dengue Transmission in Bello(Universidad EAFIT, 2014) Lobo, Elisabet; Quintero, O.L.; Universidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado MatemáticoÍtem Colombian Energy Market: An approach of Anfis and Clustering Techniques to an Optimal Portfolio(Universidad EAFIT, 2014) Palacios, Alejandro; Giraldo, Marcela; Quintero, O. L.; Universidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado MatemáticoThis paper focuses on the study of a first approach to an optimal portfolio in the Colombian Energy Market using Artificial Intelligence. Specifically, ANFIS and Clustering techniques are applied. The methodology is implemented using the Matlab Toolboxes for clustering and FIS generation. Te results are presented, as well as the analysis of them. A first approximation to an optimal portfolio obtained with this methodology is shown. Consequently, some conclusions of the different techniques available for the same purpose are discussed. Finally the future work is proposed.Ítem Colombian Energy Market: Optimal Portfolio(Universidad EAFIT, 2014) Palacios, Alejandro; Giraldo, Marcela; Quintero, O. L.; Universidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado MatemáticoThis paper focuses on the study of an optimal portfolio in the Colombian Energy Market using the Artificial Intelligence techniques specifically, Fuzzy Modeling and Neural Networks. The methodology at first, is implemented using the Matlab Fuzzy Logic Toolbox and with the help of a script the process is automatized. Secondly, a Neural Network is implemented in Matlab and its results are compared with the ones obtained in the Matlab Neural Network Toolbox. The results of the Fuzzy model and the Neural Network are presented and conclusions of both techniques are discussed. Finally possible future work are proposed.Ítem Desarrollo de librería para manejo de redes neuronales en Java para tecnofactor(Universidad EAFIT, 2019) Arboleda Echeverry, Juan Camilo; Rincón Bermúdez, Rafael DavidThe aim of the present project is to design and develop a working library that enables the creation and adaptation of Neural Networks, defined in a way that is simple to use by Java developers. The developed library will be used to design and obtain a neural network capable of recognizing handwritten digits, from the MNIST database.Ítem Diseño de mecanismos cuatro barras asistido por métodos de aprendizaje reforzado(Universidad EAFIT, 2021) Muñoz Betancur, Juan Manuel; Gallego Sánchez, Juan Andrés; Sánchez Gallego, Juan AndrésÍtem An economical solution to the quality of service problems of electricity supply(Universidad EAFIT, 2006-12-01) Barrera Núñez, Víctor; Mora Flórez, Juan José; Carrillo, Gilberto; Ordóñez Plata, Gabriel; Asesor Programa Nacional de Investigaciones en Energía y Minería, Colciencias, Asistente de Investigación GISEL.; Universidad Tecnológica de Pereira; Universidad Industrial de Santander; Universidad Industrial de SantanderÍtem Estimación del precio de oferta de la energía eléctrica en Colombia mediante inteligencia artificial.(Universidad Pablo de Olavide, 2014-12) Hurtado Moreno, Laura; Quintero Montoya, Olga Lucía; García Rendon, John Jairo; Universidad Eafit,Escuela de Economía y Finanzas, Medellín, Antioquia, Colombia; Universidad Eafit,Escuela de ciencias básicas, Medellín, Antioquia, Colombia; Universidad Eafit,Escuela de Economía y Finanzas, Medellín, Antioquia, Colombia; Escuela de Economía y Finanzas; Economía; Estudios en Economía y EmpresaÍtem Estimation of mechanical properties of rock using artificial intelligence(Universidad EAFIT, 2011-12-01) Galvis, Laura Viviana; Augusto Ochoa, César; Arguello Fuentes, Henry; Carvajal Jiménez, Jenny Mabel; Calderón Carrillo, Zuly Himelda; Universidad Industrial de Santander (UIS)Ítem Estudio de prefactibilidad de un proyecto de información con inteligencia artificial, para empresas clientes de una entidad financiera(Universidad EAFIT, 2019) Ortiz García, Jorge Mario; Ciro Parra, Jefferson Ferney; Gómez Salazar, Elkin ArcesioThe purpose of this research is to evaluate the pre-feasibility studies elaborated for the creation of a service that uses analytics and Artificial Intelligence (AI), oriented to provide information and recommendations to the shops that have contracted with Bancolombia S. A. the sales service with debit and credit cards. There is a great opportunity to generate value for the commercial sector through the processing of the information produced in the transactions made in POS (point of sale) and its join with the customer databases that the bank already has. Furthermore, are considered technologies that have taken great relevance in the last decade, such as analytics and Artificial Intelligence, because of the abundance of processable data that arise daily. In the first stage were consulted in the literature the backgrounds, generalities and advances that have occurred in both technologies, as well as their implementations, to have a general overview of their evolution and to know their scopes; later, to carry out the research, the viability of a project was evaluated through pre-feasibility studies of the UNIDO methodology. The studies covered by such methodology include the analysis of the national environment and the specific sector in which the project is to be developed, the market that exists for the service that is intended to be created, the technical characteristics necessary to carry it out, the staff, their academic background and the professional experience needed to be able to participate in the project, the financial properties that must be kept in mind and the risk management to prevent negative impacts on their implementation. All previous is complemented to build a perspective that allowed us to make the best decision regarding carrying out the project or to desist in such endeavor.Ítem Hacia un modelo predictivo que apoye el logro de KPI comerciales más asertivos : caso Empresa Comercializadora de Madera(Universidad EAFIT, 2023) Tavera Rodríguez, Jhon Walter; Tabares Betancur, Marta SilviaÍtem Inteligencia Artificial en la economía : un análisis multidimensional de oportunidades y desafíos en el mercado laboral(Universidad EAFIT, 2023) Cadavid Londoño, Ana María; Hernández Flórez, MónicaÍtem Inteligencia artificial y aprendizaje de personas en la industria del business process outsourcing : cambios y desafíos en Bogotá, Colombia(Universidad EAFIT, 2024) Rodríguez Suárez, Carolina; Bernal Ruiz, Oscar David; Macias Prada, John FernandoThis work addresses the integration of artificial intelligence (AI) in people's learning processes within Business Process Outsourcing (BPO) companies. Using a qualitative methodology with interviews and focus groups, the study examines how artificial intelligence tools are changing conventional teaching and skill development practices. Investigates the perceptions of BPO employees in different positions on how AI is positively affecting their professional training and has become a support for people's learning in their qualification processes, highlighting both the advantages and obstacles they face. The findings reveal that although AI has revolutionized people learning through teaching methodologies, providing personalized solutions that promote greater retention and job adaptation, the effective implementation of these technologies still faces significant obstacles such as the need for AI training and adjustments in teaching strategies. training. The findings emphasize the importance of developing learning programs that optimize the use of AI to improve employee loyalty and performance in high-turnover environments such as BPO.Ítem La Inteligencia Artificial aplicada al área de recursos humanos : una aproximación al estado del arte de la cuestión(Universidad EAFIT, 2024) Rodríguez Hernández, Sandra Milena; Orejuela Gómez, Jonny JavierThe objective of this Systematic Literature Review (RSL) is to establish the state of the art regarding the use of artificial intelligence in human management processes. The method used is classified into four phases, the research of the study of documentary type, descriptive and bibliographic review. Among the findings, the advantages and disadvantages of the use of AI were identified, as well as the major concepts used in each of the investigations, another result was the type of study that was developed with greater prevalence, in the same way it was identified which were the instruments of information collection, the participating subjects and the main findings. In conclusion, the findings demonstrate the positive impact that AI has had on organizations when it comes to managing human capital and in the research community it has generated great interest in the ethical dilemmas that it entails.Ítem La Inteligencia Artificial en el mundo laboral en Colombia : una mirada amplia a una realidad existente(Universidad EAFIT, 2024) Cabrera Sanabria, Laura María; Yanez Hurtado, Sofía; Múnera Posada, ArmandoCurrently, Artificial Intelligence plays a fundamental role as a transforming force in different areas of society, including labor. Colombia, like the rest of the world, faces the challenge of assimilating and adapting to the innovations it proposes. While technology in general stands out for its ability to facilitate and simplify human life, it is essential to recognize that, along with its benefits, disadvantages and challenges arise. This research paper adopts a qualitative approach with the purpose of analyzing more broadly two negative consequences from a legal perspective that could arise from the introduction of Artificial Intelligence in the Colombian work environment. First, a brief analysis is made on the possible violation of the right to equality and non-discrimination. This is observed through the use of algorithms based on Artificial Intelligence in the recruitment processes carried out by human resources departments. On the other hand, the conflict between the right to work and freedom of enterprise in the face of the automation of tasks performed by human beings, which are now carried out by Artificial Intelligence, is preliminarily explored. This phenomenon has raised significant global concern.Ítem Machine Learning para la estimación del riesgo de crédito en una cartera de consumo(Universidad EAFIT, 2021) Ossa Giraldo, Wbeimar; Jaramillo Marin, Veronica; Rojas Ormaza, Brayan RicardoFinancial entities, due to their business nature, are inherently exposed to credit risk, for this reason, they are continually searching for new ways to measure the probability of default of clients requesting a loan. This research aims to comparing the precision of a logistic regression model against basic Machine Learning models for estimating credit risk in a consumer loan portfolio, these methodologies are emerging as a key tool for estimating risks due to their flexibility and learning capacity. For this, the Logistic Regression, Random Forest, Support Vector Machine and Multilayer Perceptron models were used, making a comparison in the efficiency of the estimation of the clients that are going to default, and obtaining as a result that the most balanced model at time of evaluation is the Random Forest.Ítem Modelo de negocio para la creación de una IPS de imagenología apoyada en nuevo software de diagnóstico en la ciudad de Medellín(Universidad EAFIT, 2023) Sierra Castillo, Santiago; Reyes Sarmiento, Martha EugeniaÍtem Robot validador de la tasa de aseo en la factura de los servicios públicos de EPM con RPA(Universidad EAFIT, 2019) Yate Martínez, Jairo Yesid; Rincón Bermúdez, Rafael David