Facultad de Ingeniería - CampAGS

City

Aguascalientes

Country

Director

Claudia Nallely Sánchez Gómez

Parent Organisation

Campus Aguascalientes

OrgUnit's Publications

Now showing 1 - 10 of 448

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Hypnogram-Driven Automatic Sleep Staging and a Quality-Index Assessment Through a Two-Stage LSTM-DNN Ensemble Learning Approach Using Multi-Biosignal Features for Sleep Disorder Detection
(MDPI AG, 2026-06-27)
De Fazio, Roberto
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Paiano, Matteo
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Del-Valle-Soto, Carolina
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Al-Naami, Bassam
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Velázquez, Ramiro
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Introduction
(Springer Science and Business Media Deutschland GmbH, 2026)
Velázquez, Ramiro
;
Pissaloux, Edwidge
8
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Switched Control Design for a Modified SEPIC Converter Applied to PEF Generation.
(IEEE, 2024-10-20)
Ruiz-Martinez, O.F.
29
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Data-Driven Based Control Applied to DC Network Converters for Voltage Bus Stabilization
(2020)
J. Loranca-Coutino
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C.V. Villarreal-Hernandez
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Ruiz-Martinez, O.F.
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Mayo Maldonado, Jonathan
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J.E. Valdez-Resendiz
1 11
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Stability of conformable linear differential systems: a behavioural framework with applications in fractional-order control (vol 14, pg 2900, 2020)
(2021)
Ruiz-Martinez, O.F.
13
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Predicting bitcoin price fluctuations using deep learning while leveraging the recurrent embedded topic model over text-based data
(C. Vargas F., 2024)
Vargas Fraga Carlos
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Ponce Espinosa, Hiram Eredín
En esta tesis se aborda el problema de predecir las fluctuaciones de precios de Bitcoin utilizando modelos de procesamiento de lenguaje natural mediante el uso de noticias de criptomonedas para garantizar predicciones de mayor calidad. Dado que las noticias sobre criptomonedas contienen vocabularios muy extensos y hablan sobre diferentes temas, los modelos de tópicos actuales son estrictos en la forma en que calculan las distribuciones de temas, por lo que no permiten flexibilidad según el conjunto de datos sobre el que se ajustan. Por lo tanto, cuando se aplican las distribuciones como conjunto de datos para entrenar un algoritmo de aprendizaje automático o de aprendizaje profundo, tiende a no ajustarse a las variaciones de precios de Bitcoin. Este trabajo investiga el fenómeno de manera estructurada a través de una metodología de investigación académica inspirada en CRISP-DM (Cross Industry Standard Process for Data Mining), aportando un nuevo modelo de tópicos de última generación llamado: Recurrent Embedded Topic Model(RETM), cuya novedad deriva de su capacidad para superar a los modelos de temas actuales al brindar flexibilidad al calcular las distribuciones de los tópicos. El RETM se comparó con otros modelos basados en precios, modelos de tópicos, análisis de sentimientos y modelos de encaje (embeddings) para integrarlos en varios modelos de aprendizaje automático y aprendizaje profundo para predecir las variaciones en precio de Bitcoin. Hubo una clara diferencia con un modelo basado en aprendizaje profundo (predictor binario) frente a todas las demás técnicas (con una exactitud del 73%, una precisión del 85% y un AUC (Area Under the Curve) del 79%), asegurando así predicciones de mayor calidad sobre las variaciones de precios de Bitcoin. Dentrode la tesis, existe una discusión sobre las complejidades de implementación para poner en prácticala metodología propuesta, así como, algunos análisis sobre la validez, confiabilidad, errores y limitaciones que surgieron de esta investigación. Se ha demostrado que este modelo proporciona mejores distribuciones de tópicos que se pueden aplicar a cualquier problema basado en el procesamiento del lenguaje natural que se puedan resolver utilizando distribuciones de tópicos o palabras, tanto problemas descriptivos o predictivos
14 47
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Generating Fuzzy Rules for Wildfire Pixel Segmentation Using Genetic Programming and Color Content
(Springer Nature Switzerland, 2026)
Lopez-Alanis, Alberto
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De-la-Torre-Gutierrez, Hector
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Hernández-Aguirre, Arturo
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Álvarez-Pato, Víctor M.
12
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Analysis and Simulation of Dynamic Heat Transfer and Thermal Distribution in Burns with Multilayer Models Using Finite Volumes
(MDPI AG, 2025-10-01)
Adriana Sofia Rodríguez-Pérez
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Gilardi Velázquez, Héctor Eduardo
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Stephanie Esmeralda Velázquez-Pérez
<jats:p>Burns represent a significant medical challenge, and the development of theoretical models has the potential to contribute to the advancement of new diagnostic tools. This study aimed to perform numerical simulations of the Pennes bioheat transfer equation, incorporating heat generation terms due to the body’s immunological response to thermal injury, as well as changes in skin thermal parameters and blood perfusion for each burn type. We propose the incorporation of specific parameters and boundary conditions related to multilayer perfusion into the Pennes bioheat model. Using the proposed layered skin model, we evaluate temperature differences to establish correlations for determining burn depth. In this investigation, 1D and 3D algorithms based on the finite volume method were applied to capture transient and spatial thermal variations, with the resulting temperature distributions demonstrating the ability of the proposed models to describe the expected thermal variations in healthy and burned tissue. This work demonstrates the potential of the finite volume method to approximate the solution of the Pennes biothermal equation. Overall, this study provides a computational framework for analyzing heat transfer in burn injuries and highlights the relevance of mathematical simulations as a tool for future research on infrared thermography in medicine.</jats:p>
10
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Optical Energy Increasing in a Synchronized Motif-Ring Array of Autonomous Erbium-Doped Fiber Lasers
(2024)
José Octavio Esqueda de la Torre
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Juan Hugo García-López
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Rider Jaimes-Reátegui
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José Luis Echenausía-Monroy
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Eric Emiliano López-Muñoz
<jats:p>This work investigates the enhancement of optical energy in the synchronized dynamics of three erbium-doped fiber lasers (EDFLs) that are diffusively coupled in a unidirectional ring configuration without the need for external pump modulation. Before the system shows stable high-energy pulses, different dynamic behaviors can be observed in the dynamics of the coupled lasers. The evolution of the studied system was analyzed using different techniques for different values of coupling strength. The system shows the well-known dynamic behavior towards chaos at weak coupling, starting with a fixed point at low coupling and passing through Hopf and torus bifurcations as the coupling strength increases. An interesting finding emerged at high coupling strengths, where phase locking occurs between the frequencies of the three lasers of the system. This phase-locking leads to a significant increase in the peak energy of the EDFL pulses, effectively converting the emission into short, high amplitude pulses. With this method, it is possible to significantly increase the peak energy of the laser compared to a continuous EDFL single pulse.</jats:p>
10Scopus© Citations 1
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Low cost video game technology to measure and improve motor skills in children
(2009)
Ricardo Ruvalcaba-Manzano
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Oscar Quezada-Patino
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Daniel Gomez-Pimentel
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Jesus Ibanez-Martinez
1Scopus© Citations 7 4

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