Chromatic intelligent systems for pollution monitoring. - Marco Antonio Aceves-Fernández (2005)

A Profilometric Approach for 3D Reconstruction Using Fourier and Wavelet Transforms. - Jesús Carlos Pedraza-Ortega; Efrén Gorrostieta Hurtado; Juan Manuel Ramos-Arreguín; Sandra Luz Canchola-Magdaleno; Marco Antonio Aceves-Fernández; Manuel Delgado-Rosas; Ruth Angelica Rico-Hernandez (MICAI, 2009)

Capability of a Portable Chromatic Unit for Monitoring Airborne Particles over Wide Urban Areas. - Marco Antonio Aceves-Fernández; Gordon R. Jones; Yuva R. Kolupula; Tino Reichelt; Joseph W. Spencer; Jesús Carlos Pedraza-Ortega; Efrén Gorrostieta Hurtado (J. Sensors, 2009)

A 3D Sensor Based on a Profilometrical Approach. - Jesús Carlos Pedraza-Ortega; Efrén Gorrostieta Hurtado; Manuel Delgado-Rosas; Sandra Luz Canchola-Magdaleno; Juan Manuel Ramos-Arreguín; Marco Antonio Aceves-Fernández; Artemio Sotomayor-Olmedo (Sensors, 2009)

Comparison between Fuzzy C-means clustering and Fuzzy Clustering Subtractive in urban air pollution. - José Iván Collazo-Cuevas; Marco Antonio Aceves-Fernández; Efrén Gorrostieta Hurtado; Jesús Carlos Pedraza-Ortega; Artemio Sotomayor-Olmedo; Manuel Delgado-Rosas (CONIELECOMP, 2010)

A comparison between local and global phase unwrapping algorithms in a modified Fourier Transform Profilometry Method. - Artemio Sotomayor-Olmedo; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Efrén Gorrostieta Hurtado; Sandra Luz Canchola-Magdaleno; Juan Manuel Ramos-Arreguín; María Eugenia Quintanar-Pérez (CONIELECOMP, 2010)

Fuzzy Logic Hardware Implementation for Pneumatic Control of One DOF Pneumatic Robot. - Juan Manuel Ramos-Arreguín; Emmanuel Guillen-Garcia; Sandra Luz Canchola-Magdaleno; Jesús Carlos Pedraza-Ortega; Efrén Gorrostieta Hurtado; Marco Antonio Aceves-Fernández; Carlos-Alberto Ramos-Arreguin (MICAI (2), 2010)

Modeling Key Parameters for Greenhouse Using Fuzzy Clustering Techniques. - Efrén Gorrostieta Hurtado; Artemio Sotomayor-Olmedo; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Ubaldo Geovanni Villasenor-Carillo (MICAI (Special Sessions), 2010)

Performance assessment of fuzzy clustering models applied to urban airborne pollution. - Marco Antonio Aceves-Fernández; Artemio Sotomayor-Olmedo; Efrén Gorrostieta Hurtado; Jesús Carlos Pedraza-Ortega; Saúl Tovar-Arriaga; Juan Manuel Ramos-Arreguín (CONIELECOMP, 2011)

Evaluating trends of airborne contaminants by using support vector regression techniques. - Artemio Sotomayor-Olmedo; Marco Antonio Aceves-Fernández; Efrén Gorrostieta Hurtado; Jesús Carlos Pedraza-Ortega; José Emilio Vargas Soto; Juan Manuel Ramos-Arreguín; Ubaldo Geovanni Villasenor-Carillo (CONIELECOMP, 2011)

A Fully Sensorized Cooperative Robotic System for Surgical Interventions. - Saúl Tovar-Arriaga; José Emilio Vargas Soto; Juan Manuel Ramos-Arreguín; Marco Antonio Aceves-Fernández; Efrén Gorrostieta Hurtado; Willi A. Kalender (Sensors, 2012)

Alignment of the Measurement Scale Mark during Immersion Hydrometer Calibration Using an Image Processing System. - Luis Manuel Peña-Perez; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín; Saúl Tovar-Arriaga; Marco Antonio Aceves-Fernández; Luis Omar Becerra; Efrén Gorrostieta Hurtado; José Emilio Vargas Soto (Sensors, 2013)

Automatic segmentation of mammograms using a Scale-Invariant Feature Transform and K-means clustering algorithm. - Luis Antonio Salazar-Licea; Cyntia Mendoza-Martinez; Marco Antonio Aceves-Fernández; Jesús Carlos Pedraza-Ortega; Alberto Pastrana Palma (CCE, 2014)

Enhancement of a Neuro-Fuzzy Models Using Ant Colony Optimization for the Prediction Level of CO Pollution. - Elizabeth Martinez-Zeron; Marco Antonio Aceves-Fernández; Raúl David Palma-Olvera; Artemio Sotomayor-Olmedo; Efrén Gorrostieta Hurtado (MICAI (Special Sessions), 2014)

HTG-Based Kinematic Modeling for Positioning of a Multi-Articulated Wheeled Mobile Manipulator. - L. A. Zúñiga-Avilés; Jesús Carlos Pedraza-Ortega; Efrén Gorrostieta Hurtado; Saúl Tovar-Arriaga; Juan Manuel Ramos-Arreguín; Marco Antonio Aceves-Fernández; José Emilio Vargas Soto (J. Intell. Robotic Syst., 2014)

Trajectory planning for keyhole neurosurgery using fuzzy logic for risk evaluation. - Alejandro De Leon-Cuevas; Saúl Tovar-Arriaga; Arturo Gonzalez-Gutierrez; Marco Antonio Aceves-Fernández (CCE, 2015)

KNN-based image segmentation for grapevine potassium deficiency diagnosis. - Baldomero Manuel Sanchez Rangel; Marco Antonio Aceves-Fernández; Jesus Cardoso Murillo; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín (CONIELECOMP, 2016)

Fpga Embedded PD control of a 1 DOF manipulator with a pneumatic actuator. - Juan Manuel Ramos-Arreguín; Saúl Tovar-Arriaga; José Emilio Vargas Soto; Marco Antonio Aceves-Fernández (Int. J. Robotics Autom., 2016)

Location of mammograms ROI's and reduction of false-positive. - Luis Antonio Salazar-Licea; Jesús Carlos Pedraza-Ortega; Alberto Pastrana Palma; Marco Antonio Aceves-Fernández (Comput. Methods Programs Biomed., 2017)

Risk map generation for keyhole neurosurgery using fuzzy logic for trajectory evaluation. - Alejandro De Leon-Cuevas; Saúl Tovar-Arriaga; Arturo Gonzalez-Gutierrez; Marco Antonio Aceves-Fernández (Neurocomputing, 2017)

Evaluation of a Recurrent Neural Network LSTM for the Detection of Exceedances of Particles PM10. - Julio Alberto Ramírez Montañez; Marco Antonio Aceves-Fernández; Saúl Tovar-Arriaga; Juan Manuel Ramos-Arreguín; Giovanni Angelo Salini Calderon (CCE, 2019)

Markov Random Field Function minimized by Stochastic Gradient Descent. - Luis Rogelio Román Rivera; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Juan Manuel Ramos-Arreguín; Efrén Gorrostieta Hurtado; José Emilio Vargas Soto (CCE, 2019)

Search for Dementia Patterns in Transcribed Conversations using Natural Language Processing. - Damián Solís Rosas; Saúl Tovar-Arriaga; Marco Antonio Aceves-Fernández (CCE, 2019)

Methodology Proposal of EMG Hand Movement Classification Based on Cross Recurrence Plots. - Marco Antonio Aceves-Fernández; Juan Manuel Ramos-Arreguín; Efrén Gorrostieta Hurtado; Jesús Carlos Pedraza-Ortega (Comput. Math. Methods Medicine, 2019)

Steady-state visual evoked potential (SSEVP) from EEG signal modeling based upon recurrence plots. - Santiago M. Fernandez-Fraga; Marco Antonio Aceves-Fernández; Juvenal Rodríguez-Reséndiz; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín (Evol. Syst., 2019)

Propuesta de mejora de modelado de partículas contaminantes PM10 mediante algoritmos de inteligencia colectiva de bacteria BFOA. - María del Cármen Cabrera-Hernández; Julio Alberto Ramírez Montañez; Marco Antonio Aceves-Fernández; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín (Res. Comput. Sci., 2019)

Propuesta de red neuronal convolutiva para la predicción de partículas contaminantes PM10. - Ricardo Domínguez-Guevara; María del Cármen Cabrera-Hernández; Marco Antonio Aceves-Fernández; Jesús Carlos Pedraza-Ortega (Res. Comput. Sci., 2019)

Chaining a U-Net With a Residual U-Net for Retinal Blood Vessels Segmentation. - Gendry Alfonso Francia; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Saúl Tovar-Arriaga (IEEE Access, 2020)

Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks. - Josue Becerra-Rico; Marco Antonio Aceves-Fernández; Karen Esquivel-Escalante; Jesús Carlos Pedraza-Ortega (Earth Sci. Informatics, 2020)

An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10). - B. Ordóñez-De León; Marco Antonio Aceves-Fernández; Santiago M. Fernandez-Fraga; Juan Manuel Ramos-Arreguín; Efrén Gorrostieta Hurtado (Evol. Syst., 2020)

Análisis comparativo de métodos de desdoblamiento de fase en perfilometría por desplazamiento de fase. - Luis Arturo Alvarado Escoto; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín; Efrén Gorrostieta Hurtado; Marco Antonio Aceves-Fernández (Res. Comput. Sci., 2020)

Red neuronal convolucional de baja latencia para la estimación de profundidad monocular. - Edgar Rodrigo López Silva; Luis Rogelio Román Rivera; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Juan Manuel Ramos-Arreguín (Res. Comput. Sci., 2020)

Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas. - Gerardo Javier Kuri-Monge; Marco Antonio Aceves-Fernández; Julio Alberto Ramírez Montañez; Jesús Carlos Pedraza-Ortega (ICIT, 2021)

Registro de nubes de puntos por pares con optimización global basado en gráfico de pose para un sistema de reconstrucción 3D. - Víctor Beltrán Barrera; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín; Marco Antonio Aceves-Fernández; Saúl Tovar-Arriaga; Efrén Gorrostieta Hurtado (Res. Comput. Sci., 2021)

Metaheurísticas y CNN: Comparación de modelos híbridos para mejorar la clasificación de imágenes. - Gerardo Treviño-Valdés; Jesús Alejandro Navarro-Acosta; Marco Antonio Aceves-Fernández; Jesús Carlos Pedraza-Ortega; Saúl Tovar-Arriaga (Res. Comput. Sci., 2021)

A survey of approaches in Deep Learning techniques for the detection and classification of mammography abnormalities. - Cecilia Gabriela Rodríguez Flores; Jesús Carlos Pedraza-Ortega; Luis Antonio Salazar-Licea; Marco Antonio Aceves-Fernández; Marzela Sánchez Osti (CCE, 2022)

Capability of an Elman Recurrent Neural Network for predicting the non-linear behavior of airborne pollutants. - David Barrero-González; Julio Alberto Ramírez Montañez; Marco Antonio Aceves-Fernández; Juan Manuel Ramos-Arreguín (Earth Sci. Informatics, 2022)

Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization. - María Guadalupe Bedolla-Ibarra; María del Cármen Cabrera-Hernández; Marco Antonio Aceves-Fernández; Saúl Tovar-Arriaga (Evol. Syst., 2022)

Automatic classification of depressive users on Twitter including temporal analysis. - Luis Roberto García-Noguez; Saúl Tovar-Arriaga; Wilfrido J. Paredes-García; Juan Manuel Ramos-Arreguín; Marco Antonio Aceves-Fernández (Netw. Model. Anal. Health Informatics Bioinform., 2023)

A Comparative Analysis of Object Detection Models for Drowsiness Detection: Evaluating Raw, Processed, and Hybrid Image Datasets with Faster R-CNN. - Maria Laura Miranda-Leon; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Juan Manuel Ramos-Arreguín (CCE, 2024)

Modified Multiresolution Convolutional Neural Network for Quasi-Periodic Noise Reduction in Phase Shifting Profilometry for 3D Reconstruction. - Osmar Antonio Espinosa-Bernal; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Juan Manuel Ramos-Arreguín; Saúl Tovar-Arriaga; Efrén Gorrostieta Hurtado (Comput., 2024)

Quasi/Periodic Noise Reduction in Images Using Modified Multiresolution-Convolutional Neural Networks for 3D Object Reconstructions and Comparison with Other Convolutional Neural Network Models. - Osmar Antonio Espinosa-Bernal; Jesús Carlos Pedraza-Ortega; Marco Antonio Aceves-Fernández; Victor Manuel Martínez-Suárez; Saúl Tovar-Arriaga; Juan Manuel Ramos-Arreguín; Efrén Gorrostieta Hurtado (Comput., 2024)

Evaluation of a transformer-based model for the temporal forecast of coarse particulate matter (PMCO) concentrations. - Luis Eduardo Mauricio-Álvarez; Marco Antonio Aceves-Fernández; Jesús Carlos Pedraza-Ortega; Juan Manuel Ramos-Arreguín (Earth Sci. Informatics, 2024)

Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification. - Gendry Alfonso Francia; Jesús Carlos Pedraza-Ortega; Manuel Toledano-Ayala; Marco Antonio Aceves-Fernández; Seok-Bum Ko; Saúl Tovar-Arriaga (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Comparison of Bioelectric Signals and Their Applications in Artificial Intelligence: A Review. - Juarez-Castro Flavio Alfonso; Toledo-Rios Juan Salvador; Marco Antonio Aceves-Fernández; Saúl Tovar-Arriaga (Comput., 2025)