DESI - Trabajos de fin de Maestría en Sistemas Computacionales
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Ítem Development of a Supervised Model of Regression with Machine Learning for Particulate Matter in the Metropolitan Area of Guadalajara(ITESO, 2024-06) Alavez-Sosa, Francisco A.; Faus-Landeros, Gloria E.; Villalón-Turrubiates, Iván E.The Metropolitan Area of Guadalajara (MAG) is the second most contaminated area in Mexico. The effects of the change could be seen in the region’s climate system on the ecosystem and the health of its population, caused mainly by anthropogenic activities that produce atmospheric pollutants. A greater understanding of the atmosphere, the phenomena and effects of pollutants on the air quality of the MAG is needed. particulate matter (PM) affects directly air quality, human health and the environment, mainly. The MAG does not have measurements of PM 2.5 micrometers (anthropogenic) of its entire surface, only with PM 10 micrometers. In this project, using Python, data from the MAG and its surroundings were extracted from Giovanni Nasa Web Page files, with the netCDF4 library. Three measurements of interest (Ångström Exponent, Aerosol Optical Depth and Mass Concentration) were integrated into a single dataset. From this, descriptive statistics were obtained with Seaborn, Matplotlib and Tableau. Seasonal patterns stood out and motivated the search for a machine learning regressor that would “learn” and predict the size of the particles by month. Due to the distribution of the patterns, it was decided to use a “boosting” model. Three ways were proposed to “train” the model. The first, with the complete dataset. The second and third with “feature engineering” and a “sliding window”, which considers trends followed each month, using data from the MAG and data from the MAG and its surroundings, respectively. The final model makes accurate quantitative and qualitative forecasts of particle size in a given month, useful for taking preventive measures.Ítem Detección y clasificación de objetos aplicado a un área de investigación: reconocimiento de la lengua de señas mexicana(ITESO, 2023-05) Jaime-Gaytán, Cristian E.; Martínez-Sánchez, Víctor H.Ítem Traffic Sign Detection and Recognition with Voice Assistant(ITESO, 2023-05) Vázquez-Espinoza, Carlos S.; Martínez-Sánchez, Víctor H.Ítem Ingesta y modelado de datos de aerolíneas mediante un pipeline utilizando tecnología disponible en la nube(ITESO, 2022-12) Caballero-Zúñiga, Jorge L.; De Obeso-Orendain, Alberto; DeObeso-Orendain, AlbertoÍtem Multispectral Image Analysis of Remotely Sensed Crops(ITESO, 2022-05) Villanueva-Molina, José J.; DeObeso-Orendain, AlbertoÍtem Machine Learning and Data Science Techniques applied to Intel Historical SDL (Security Development Lifecycle). Project Execution Data to Discover Improvement Insights(ITESO, 2022-07) Téllez-Salmón, Ximena; Villalón-Turrubiates, Iván E.; Viveros-Wacher, AndrésÍtem Analítica de preguntas con respuestas tipo Likert en encuestas de satisfacción de cursos de Algoritmos y Programación(ITESO, 2022-07) Santana-DeLosRíos, Carolina; Hernández-Chávez, GiselÍtem Modelo de aprendizaje profundo para la detección de objetos de interés en el Bosque de La Primavera(ITESO, 2022-06) Magaña-Vázquez, José L.; Cervantes-Álvarez, José F.; Pérez-Bernal, Luis E.Ítem Analysis and Development of an End-to-End Convolutional Neural Network for Sounds Classification Through Deep Learning Techniques(ITESO, 2021-11) Galindo-Meza, Carlos A.; López-Meyer, PauloÍtem Diabetic Retinopathy Image Classification with Neural Networks(ITESO, 2021-11) Sánchez-Ferrusca, Iván; Martínez-Sánchez, Víctor H.Ítem Diseño e implementación de una base de conocimiento para el diagnóstico médico del asma y su severidad(ITESO, 2021-12) Orozco-Ruiz, Jorge L.; Villanueva-Paredes, Norma I.Ítem Land Use Identification of the Metropolitan Area of Guadalajara Using Bicycle Data: An Unsupervised Classification Approach(ITESO, 2021-11) Gracia-Rivera, Dulce M.; Villalón-Turrubiates, Iván E.Ítem Recommendation System for Issues Found in R&D(ITESO, 2021-07) Preciado-Barón, Diego; DeObeso-Orendain, AlbertoÍtem Improved Prediction of Heuristic Configuration for Queue Priority on FaCt++ Semantic Reasoner(ITESO, 2021-07) González-Álvarez, Juan J.; Escobar-Vega, Luis M.Ítem Sistema de recomendación basado en grafos: escenario de recomendación de productos(2021-06) Partida-Ochoa, Sarahi; Ortega-Guzmán, Víctor H.Ítem Sistema de recomendación híbrido basado en grafos con enfoque a artículos científicos(ITESO, 2021-06) Escamilla-Ornelas, Jorge M.; Ortega-Guzmán, Victor H.Ítem Método basado en detección de prototipos para interpretabilidad de modelos predictivos(ITESO, 2021-01) Ángeles-Cabrera, Eduardo; Moreno-Núñez, IsmaelÍtem Biblioteca de evaluación y entrenamiento de redes neuronales artificiales implementada en Rust y OpenCL(ITESO, 2021-01) Escamilla-Ochoa, Víctor R.; Cornejo-Torres, Pedro A.Ítem Identificador de GAPS en imágenes satelitales tomadas por el Landsat 7(ITESO, 2020-12) Aviña-Delgado, José A.; Piza-Dávila, Hugo I.Ítem Sistema de vigilancia escolar para el proyecto NACE(ITESO, 2021-02) Tiburcio-Delgado, Edgar; Alcaraz-Mejía, Mildreth