Switching Learning Law for Differential Neural Observer for Biodegradation Process. - Rita Fuentes; Alejandro García-González; Agustin Cabrera; Tatyana Poznyak; Isaac Chairez 001 (IJCNN, 2006)

Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks. - Rita Fuentes; Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (ICANN (2), 2009)

Neural numerical modeling for uncertain distributed parameter systems. - Rita Fuentes; Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (IJCNN, 2009)

Robust identification of uncertain Schrödinger type complex partial differential equations. - Isaac Chairez 001; Rita Fuentes; Alexander S. Poznyak; Tatyana Poznyak (CCE, 2010)

Continuous Neural Networks Applied to identify a class of uncertain parabolic Partial differential equations. - Rita Fuentes; Alex Poznyak; Isaac Chairez 001; M. Franco; Tatyana Poznyak (Int. J. Model. Simul. Sci. Comput., 2010)

Neuro-observer based on backstepping technique for distributed parameters systems. - Rita Fuentes; Isaac Chairez 001; Alexander S. Poznyak (CCE, 2012)

DNN-state identification of 2D distributed parameter systems. - Isaac Chairez 001; Rita Fuentes; Alexander S. Poznyak; Tatyana Poznyak; Marisol Escudero; Laura Viana (Int. J. Syst. Sci., 2012)

Discrete Wavelet transform and ANFIS classifier for Brain-Machine Interface based on EEG. - Eduardo Lopez-Arce Vivas; Alejandro García-González; Ivan Figueroa; Rita Q. Fuentes (HSI, 2013)

Platform for the study of virtual task-oriented motion and its evaluation by EEG and EMG biopotentials. - Ivan Figueroa-Garcia; Omar Aguilar-Leal; Ana G. Hernandez-Reynoso; Jimena Madrigal; Rita Q. Fuentes; Joel C. Huegel; Alejandro García-González (EMBC, 2014)

Distributed parameter system identification using finite element differential neural networks. - Omar Aguilar-Leal; Rita Quetziquel Fuentes-Aguilar; Isaac Chairez 001; Alejandro García-González; Joel C. Huegel (Appl. Soft Comput., 2016)

Adaptive simulated annealing for tuning PID controllers. - Luis Fernando Fraga-Gonzalez; Rita Quetziquel Fuentes-Aguilar; Alejandro García-González; Gildardo Sánchez-Ante (AI Commun., 2017)

Modeling of the temperature distribution of a greenhouse using finite element differential neural networks. - Juan Carlos Bello-Robles; Ofelia Begovich; Javier Ruiz-León; Rita Quetziquel Fuentes-Aguilar (Kybernetika, 2018)

Non-static object reconstruction system based on multiple RGB-D cameras. - Marco A. Barreto; Joel C. Huegel; Rita Q. Fuentes; Jorge Luis Perez-Gonzalez (ICMV, 2019)

Reduced Order Finite Element Model Techniques for Setpoint Control. - Juan Carlos Bello-Robles; Rita Quetziquel Fuentes-Aguilar; Javier Ruiz-León (CCE, 2020)

Interface Pressure System to Compare the Functional Performance of Prosthetic Sockets during the Gait in People with Trans-Tibial Amputation. - Salvador Ibarra Aguila; Gisel J. Sánchez; Eric E. Sauvain; Beatriz Alemon; Rita Quetziquel Fuentes-Aguilar; Joel C. Huegel (Sensors, 2020)

Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach. - Rita Quetziquel Fuentes-Aguilar; Isaac Chairez 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Bone Tissue Scaffolds Designed With A Porosity Gradient Based On Triply Periodic Minimal Surfaces Using A Parametric Approach. - Mariana S. Flores-Jiménez; Rita Quetziquel Fuentes-Aguilar (EMBC, 2021)

EEG motor/imagery signal classification comparative using machine learning algorithms. - Alicia Guadalupe Lazcano Herrera; Rita Quetziquel Fuentes-Aguilar; Mariel Alfaro-Ponce (CCE, 2021)

Control Implementation in a Low-cost Designed Biped Robot to Reproduce Squats. - J. Durán-Hernández; Rita Quetziquel Fuentes-Aguilar; Leobardo Emmanuel Campos-Macias; Oscar Eleno Carbajal-Espinosa (ICCMA, 2022)

Stress Level Estimation Based on Physiological Signals for Virtual Reality Applications. - Carmen Elisa Orozco-Mora; Daniela Oceguera-Cuevas; Rita Quetziquel Fuentes-Aguilar; Gustavo Hernández-Melgarejo (IEEE Access, 2022)

Exponential Continuous Non-Parametric Neural Identifier With Predefined Convergence Velocity. - Mariana Ballesteros 001; Rita Quetziquel Fuentes-Aguilar; Isaac Chairez 001 (IEEE CAA J. Autom. Sinica, 2022)

A Framework to Model and Control the State of Presence in Virtual Reality Systems. - Gustavo Hernández-Melgarejo; Alberto Luviano-Juárez; Rita Quetziquel Fuentes-Aguilar (IEEE Trans. Affect. Comput., 2022)

Design and Analysis of a Rotational Mixer to produce 3D Bioprinting Gyroid-Helical-Patterned Scaffolds for Tissue Engineering Applications. - Mariana S. Flores-Jiménez; Rita Quetziquel Fuentes-Aguilar; Alejandro García-González (EMBC, 2023)

Electromyographic signals analysis to assess the response of a proprioceptive neuromuscular facilitation pattern execution. - Alejandro García-González; Rita Quetziquel Fuentes-Aguilar; Yenira Tlacuilo-Parra; Marte Mendivil; Marco Terriquez; Alfonso Reyes-Salazar (EMBC, 2023)

Control System for Vibration Attenuation in a Flexible Beam. - Alejandro Díaz; Juan Carlos Bello-Robles; Rita Quetziquel Fuentes-Aguilar; Javier Ruiz-León (CCE, 2023)

BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset. - Alicia Guadalupe Lazcano Herrera; Rita Quetziquel Fuentes-Aguilar; Adrian Ramirez-Morales; Mariel Alfaro-Ponce (IEEE Access, 2023)

Diferenciación de la región macular dentro de la retina utilizando operaciones morfológicas simples orientado al prediagnóstico en etapas tempranas de retinopatía diabética. - Emanuel de-la-Cruz-Espinosa; Rita Quetziquel Fuentes-Aguilar; Eduardo Morales-Vargas (Res. Comput. Sci., 2023)

Rational Continuous Neural Network Identifier for Singular Perturbed Systems With Uncertain Dynamical Models. - Olga G. Andrianova; Alex Poznyak; Rita Quetziquel Fuentes-Aguilar; Isaac Chairez 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Blackberry Fruit Classification in Underexposed Images Combining Deep Learning and Image Fusion Methods. - Eduardo Morales-Vargas; Rita Quetziquel Fuentes-Aguilar; Emanuel de-la-Cruz-Espinosa; Gustavo Hernández-Melgarejo (Sensors, 2023)

Continuous Recurrent Neural Network Identifier Based On Exponential Barrier Lyapunov Functions. - Manuela Gomez-Correa; Mariana Ballesteros 001; Rita Quetziquel Fuentes-Aguilar; Isaac Chairez 001; David Cruz-Ortiz (ICCMA, 2024)

Improving Blood Vessel Segmentation and Depth Estimation in Laser Speckle Images Using Deep Learning. - Eduardo Morales-Vargas; Hayde Peregrina-Barreto; Rita Quetziquel Fuentes-Aguilar; Juan Pablo Padilla-Martinez; Wendy Argelia Garcia-Suastegui; Julio Cesar Ramirez-San-Juan (Inf., 2024)

Convolutional neural networks for pattern classifying based on parameterized predefined sequence of image filters. - Dusthon Llorente-Vidrio; Rita Quetziquel Fuentes-Aguilar; Isaac Chairez 001 (Neural Comput. Appl., 2024)

Non-parametric identifier of systems with uncertain model using a Lyapunov-based continuous form of back-propagation method. - Dusthon Llorente-Vidrio; Isaac Chairez Oria; Rita Quetziquel Fuentes-Aguilar (Neurocomputing, 2025)