Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks von Becerra-Rico, Josue, Aceves-Fernández, Marco A., Esquivel-Escalante, Karen, Pedraza-Ortega, Jesús Carlos

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A fully sensorized cooperative robotic system for surgical interventions von Tovar-Arriaga, Saúl, Vargas, José Emilio, Ramos, Juan M, Aceves, Marco A, Gorrostieta, Efren, Kalender, Willi A

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Capability of an Elman Recurrent Neural Network for predicting the non-linear behavior of airborne pollutants von Barrero-González, David, Ramírez-Montañez, Julio A., Aceves-Fernández, Marco A., Ramos-Arreguín, Juan M.

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A 3D Sensor Based on a Profilometrical Approach von Pedraza-Ortega, Jesús Carlos, Gorrostieta-Hurtado, Efren, Delgado-Rosas, Manuel, Canchola-Magdaleno, Sandra L, Ramos-Arreguin, Juan Manuel, Aceves Fernandez, Marco A, Sotomayor-Olmedo, Artemio

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Location of mammograms ROI's and reduction of false-positive von Licea, Luis Antonio Salazar, Pedraza-Ortega, Jesús Carlos, Pastrana-Palma, Alberto, Aceves-Fernandez, Marco A

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Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City von Aceves-Fernandez, Marco A, Pedraza-Ortega, J. Carlos, Sotomayor-Olmedo, Artemio, Ramos-Arreguín, Juan M, Vargas-Soto, J. Emilio, Tovar-Arriaga, Saul

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Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms von Martinez-Zeron, Elizabeth, Aceves-Fernandez, Marco A, Gorrostieta-Hurtado, Efren, Sotomayor-Olmedo, Artemio, Ramos-Arregun, Juan Manuel

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Swarm Intelligence: Recent Advances and Current Applications

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Forecast Urban Air Pollution in Mexico City by Using Support Vector Machines: A Kernel Performance Approach von Sotomayor-Olmedo, Artemio, Aceves-Fernández, Marco A., Gorrostieta-Hurtado, Efrén, Pedraza-Ortega, Carlos, Ramos-Arreguín, Juan M., Vargas-Soto, J. Emilio

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Artificial Intelligence Annual Volume 2022

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Advances and Applications in Deep Learning

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Artificial Intelligence: Applications in Medicine and Biology von Marco Antonio Aceves-Fernandez

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Machine Learning and Data Mining Annual Volume 2023

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Artificial Intelligence: Emerging Trends and Applications

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Finding Trends of Airborne Harmful Pollutants by Using Recurrence Quantification Analysis von Aceves-Fernandez, Marco A., Ramos-Arreguín, Juan M., Pedraza-Ortega, J. Carlos, Sotomayor-Olmedo, Artemio, Tovar-Arriaga, Saúl

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Analysis of Key Features of Non-Linear Behavior Using Recurrence Plots. Case Study: Urban Pollution at Mexico City von Aceves-Fernandez, Marco A., Pedraza-Ortega, Jesus Carlos, Sotomayor-Olmedo, Artemio, Ramos-Arreguín, Juan M., Vargas-Soto, Jose Emilio, Tovar-Arriaga, Saul

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Notice of Violation of IEEE Publication Principles: Evaluation of CORBA and Web Services in distributed applications von Artemio, Sotomayor-Olmedo, Leonardo, Barriga-Rodriguez, Hugo, Jimenez-Hernandez, Carlos, Moya-Morales J., Marco A., Aceves-Fernandez, Carlos, Pedraza-Ortega J.

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Design and Implementation of an Embedded Wireless System to Monitor a Hall-Effect Gas Sensor at a Household von Rodriguez, E., Aceves-Fernandez, M. A., Ramos-Arreguin, J. M., Tovar-Arriaga, S., Pedraza-Ortega, J. C., Vargas-Soto, J. E.

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Multi-Channel Electromyography Signal Acquisition of Forearm von Ramírez Ángeles, Ivan Joel

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Multi-Channel Electromyography Signal Acquisition of Forearm von Ramírez Ángeles, Ivan Joel

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