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ORCIDRita Quetziquel Fuentes-Aguilar
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2020 – today
- 2024
[j16]Eduardo Morales-Vargas
, Hayde Peregrina-Barreto, Rita Quetziquel Fuentes-Aguilar, Juan Pablo Padilla-Martinez, Wendy Argelia Garcia-Suastegui, Julio Cesar Ramirez-San-Juan:
Improving Blood Vessel Segmentation and Depth Estimation in Laser Speckle Images Using Deep Learning. Inf. 15(4): 185 (2024)- [j15]Dusthon Llorente-Vidrio, Rita Quetziquel Fuentes-Aguilar, Isaac Chairez:
Convolutional neural networks for pattern classifying based on parameterized predefined sequence of image filters. Neural Comput. Appl. 36(24): 15045-15061 (2024) - 2023
- [j14]Alicia Guadalupe Lazcano Herrera, Rita Quetziquel Fuentes-Aguilar, Adrian Ramirez-Morales, Mariel Alfaro-Ponce:
BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset. IEEE Access 11: 136422-136436 (2023) - [j13]Emanuel de-la-Cruz-Espinosa, Rita Quetziquel Fuentes-Aguilar, Eduardo Morales-Vargas:
Diferenciación de la región macular dentro de la retina utilizando operaciones morfológicas simples orientado al prediagnóstico en etapas tempranas de retinopatía diabética. Res. Comput. Sci. 152(7): 115-126 (2023) - [j12]Eduardo Morales-Vargas, Rita Quetziquel Fuentes-Aguilar, Emanuel de-la-Cruz-Espinosa, Gustavo Hernández-Melgarejo:
Blackberry Fruit Classification in Underexposed Images Combining Deep Learning and Image Fusion Methods. Sensors 23(23): 9543 (2023) - [j11]Olga G. Andrianova, Alex Poznyak, Rita Quetziquel Fuentes-Aguilar, Isaac Chairez:
Rational Continuous Neural Network Identifier for Singular Perturbed Systems With Uncertain Dynamical Models. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2374-2385 (2023) - [c15]Mariana S. Flores-Jiménez, Rita Quetziquel Fuentes-Aguilar, Alejandro García-González:
Design and Analysis of a Rotational Mixer to produce 3D Bioprinting Gyroid-Helical-Patterned Scaffolds for Tissue Engineering Applications. EMBC 2023: 1-4 - [c14]Alejandro García-González, Rita Quetziquel Fuentes-Aguilar, Yenira Tlacuilo-Parra, Marte Mendivil, Marco Terriquez, Alfonso Reyes-Salazar:
Electromyographic signals analysis to assess the response of a proprioceptive neuromuscular facilitation pattern execution. EMBC 2023: 1-4 - [c13]Alejandro Díaz, Juan Carlos Bello-Robles, Rita Quetziquel Fuentes-Aguilar, Javier Ruiz-León:
Control System for Vibration Attenuation in a Flexible Beam. CCE 2023: 1-6 - 2022
- [j10]Carmen Elisa Orozco-Mora, Daniela Oceguera-Cuevas, Rita Quetziquel Fuentes-Aguilar, Gustavo Hernández-Melgarejo:
Stress Level Estimation Based on Physiological Signals for Virtual Reality Applications. IEEE Access 10: 68755-68767 (2022) - [j9]Mariana Ballesteros, Rita Quetziquel Fuentes-Aguilar, Isaac Chairez:
Exponential Continuous Non-Parametric Neural Identifier With Predefined Convergence Velocity. IEEE CAA J. Autom. Sinica 9(6): 1049-1060 (2022) - [j8]Gustavo Hernández-Melgarejo, Alberto Luviano-Juárez, Rita Quetziquel Fuentes-Aguilar:
A Framework to Model and Control the State of Presence in Virtual Reality Systems. IEEE Trans. Affect. Comput. 13(4): 1854-1867 (2022) - [c12]J. Durán-Hernández, Rita Quetziquel Fuentes-Aguilar, Leobardo Emmanuel Campos-Macias, Oscar Eleno Carbajal-Espinosa:
Control Implementation in a Low-cost Designed Biped Robot to Reproduce Squats. ICCMA 2022: 36-41 - 2021
- [c11]Mariana S. Flores-Jiménez, Rita Quetziquel Fuentes-Aguilar:
Bone Tissue Scaffolds Designed With A Porosity Gradient Based On Triply Periodic Minimal Surfaces Using A Parametric Approach. EMBC 2021: 1209-1212 - [c10]Alicia Guadalupe Lazcano Herrera, Rita Quetziquel Fuentes-Aguilar, Mariel Alfaro-Ponce:
EEG motor/imagery signal classification comparative using machine learning algorithms. CCE 2021: 1-6 - 2020
- [j7]Salvador Ibarra Aguila, Gisel J. Sánchez, Eric E. Sauvain, Beatriz Alemon, Rita Quetziquel Fuentes-Aguilar, Joel C. Huegel:
Interface Pressure System to Compare the Functional Performance of Prosthetic Sockets during the Gait in People with Trans-Tibial Amputation. Sensors 20(24): 7043 (2020) - [j6]Rita Quetziquel Fuentes-Aguilar, Isaac Chairez:
Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5390-5401 (2020) - [c9]Juan Carlos Bello-Robles, Rita Quetziquel Fuentes-Aguilar, Javier Ruiz-León:
Reduced Order Finite Element Model Techniques for Setpoint Control. CCE 2020: 1-6
2010 – 2019
- 2019
- [c8]Marco A. Barreto, Joel C. Huegel, Rita Q. Fuentes, Jorge Luis Perez-Gonzalez:
Non-static object reconstruction system based on multiple RGB-D cameras. ICMV 2019: 1143329 - 2018
- [j5]Juan Carlos Bello-Robles, Ofelia Begovich, Javier Ruiz-León, Rita Quetziquel Fuentes-Aguilar:
Modeling of the temperature distribution of a greenhouse using finite element differential neural networks. Kybernetika 54(5): 1033-1048 (2018) - 2017
- [j4]Luis Fernando Fraga-Gonzalez, Rita Quetziquel Fuentes-Aguilar, Alejandro García-González, Gildardo Sánchez-Ante:
Adaptive simulated annealing for tuning PID controllers. AI Commun. 30(5): 347-362 (2017) - 2016
- [j3]Omar Aguilar-Leal, Rita Quetziquel Fuentes-Aguilar, Isaac Chairez, Alejandro García-González, Joel C. Huegel:
Distributed parameter system identification using finite element differential neural networks. Appl. Soft Comput. 43: 633-642 (2016) - 2014
- [c7]Ivan Figueroa-Garcia, Omar Aguilar-Leal, Ana G. Hernandez-Reynoso, Jimena Madrigal, Rita Q. Fuentes, Joel C. Huegel, Alejandro García-González:
Platform for the study of virtual task-oriented motion and its evaluation by EEG and EMG biopotentials. EMBC 2014: 1174-1177 - 2013
- [c6]Eduardo Lopez-Arce Vivas, Alejandro García-González, Ivan Figueroa, Rita Q. Fuentes:
Discrete Wavelet transform and ANFIS classifier for Brain-Machine Interface based on EEG. HSI 2013: 137-144 - 2012
- [j2]Isaac Chairez, Rita Fuentes, Alexander S. Poznyak, Tatyana Poznyak, Marisol Escudero, Laura Viana:
DNN-state identification of 2D distributed parameter systems. Int. J. Syst. Sci. 43(2): 296-307 (2012) - [c5]Rita Fuentes, Isaac Chairez, Alexander S. Poznyak:
Neuro-observer based on backstepping technique for distributed parameters systems. CCE 2012: 1-6 - 2010
- [j1]Rita Fuentes, Alex Poznyak, Isaac Chairez, M. Franco, Tatyana Poznyak:
Continuous Neural Networks Applied to identify a class of uncertain parabolic Partial differential equations. Int. J. Model. Simul. Sci. Comput. 1(4) (2010) - [c4]Isaac Chairez, Rita Fuentes, Alexander S. Poznyak, Tatyana Poznyak:
Robust identification of uncertain Schrödinger type complex partial differential equations. CCE 2010: 170-175
2000 – 2009
- 2009
- [c3]Rita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak:
Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks. ICANN (2) 2009: 552-562 - [c2]Rita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak:
Neural numerical modeling for uncertain distributed parameter systems. IJCNN 2009: 909-916 - 2006
- [c1]Rita Fuentes, Alejandro García-González, Agustin Cabrera, Tatyana Poznyak, Isaac Chairez:
Switching Learning Law for Differential Neural Observer for Biodegradation Process. IJCNN 2006: 4484-4490
Coauthor Index
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