Facultad de Ingeniería - CampAGS
City
Aguascalientes
Country
MX
Director
Claudia Nallely Sánchez Gómez
Parent Organisation
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Item type:Publication, 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 ;Paiano, Matteo; ;Al-Naami, Bassam - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer(2024); ;Eluney Hernández ;Gilberto Ochoa-RuizChristian Daul13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Rethinking Authenticity in Architecture: The Ethical Implications of AI-Generated Design(Springer Nature Switzerland, 2025)Colmenero Acevedo Ezequiel Alberto17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An Innovative Solution with Wearable and Aboard-the-Vehicle Sensors Integrated with Machine Learning Algorithms for Monitoring the Driver's Psycho-Physical Condition for Safety Purposes(2024) ;Roberto De Fazio ;Ilaria Cascella ;Paolo Visconti; 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Data-Driven Based Control Applied to DC Network Converters for Voltage Bus Stabilization(2020) ;J. Loranca-Coutino ;C.V. Villarreal-Hernandez; ;Mayo Maldonado, JonathanJ.E. Valdez-Resendiz1 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predicting bitcoin price fluctuations using deep learning while leveraging the recurrent embedded topic model over text-based data(C. Vargas F., 2024) ;Vargas Fraga CarlosPonce Espinosa, Hiram EredínEn 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 predictivos14 47 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, On the Effect of Asymmetric Coupling in Pairs of Chaotic Oscillators for Different Input–Output Combinations(WORLD SCIENTIFIC, 2025-12-11) ;Ontanon-Garcia, L.J. ;Pena-Ramirez, J. ;Echenausía-Monroy, J.L. ;Ruiz-Silva, A.12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, WEFE nexus unveiled: a comprehensive review of monitoring and modelling methods in the water-energy-food-ecosystems nexusSustainable resource management in the face of climate change is a pressing challenge for our society. This paper delves into the water-energy-food-ecosystems (WEFE) nexus, a scientific framework that supports the integrated assessment and management of the interconnected resources. Shifting from sectoral to cross-sectoral and transdisciplinary perspectives, the WEFE nexus addresses interdependencies and interactions among water, energy, food, ecosystems, and climate. This paper focuses on the extended nexus, incorporating ecosystems as a fourth pillar, underscoring the importance of considering ecosystems on an equal footing with water, energy, and food sectors. In addition, the paper emphasizes the significance of monitoring and modelling techniques, laying the foundations for understanding the nexus complexities and assessing uncertainty. The paper offers an overview of integrated nexus modelling, system analysis and socio-economic modelling, bridging the gap between nexus science and practice. It highlights the role of multifaceted stakeholder engagement methods, policy assessment, and institutional analysis in nexus models. Quantifying the nexus through indicators, and its alignment with the Sustainable Development Goals, EU Green Deal, and EU Blue Deal are also key focal points. Finally, the last part of the paper addresses challenges in existing nexus modelling attempts, advocates for the integration of transdisciplinary information, and presents lessons learned. The paper concludes with recommendations for the future of the WEFE nexus, emphasizing its potential in fostering transformative change toward sustainable resource management and inclusive policymaking.18 57
