Rita Quetziquel Fuentes-Aguilar

Orcid: 0000-0003-2559-539X

According to our database1, Rita Quetziquel Fuentes-Aguilar authored at least 28 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Blackberry Fruit Classification in Underexposed Images Combining Deep Learning and Image Fusion Methods.
Sensors, December, 2023

Rational Continuous Neural Network Identifier for Singular Perturbed Systems With Uncertain Dynamical Models.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset.
IEEE Access, 2023

Control System for Vibration Attenuation in a Flexible Beam.
Proceedings of the 20th International Conference on Electrical Engineering, 2023

Electromyographic signals analysis to assess the response of a proprioceptive neuromuscular facilitation pattern execution.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Design and Analysis of a Rotational Mixer to produce 3D Bioprinting Gyroid-Helical-Patterned Scaffolds for Tissue Engineering Applications.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A Framework to Model and Control the State of Presence in Virtual Reality Systems.
IEEE Trans. Affect. Comput., 2022

Exponential Continuous Non-Parametric Neural Identifier With Predefined Convergence Velocity.
IEEE CAA J. Autom. Sinica, 2022

Stress Level Estimation Based on Physiological Signals for Virtual Reality Applications.
IEEE Access, 2022

Control Implementation in a Low-cost Designed Biped Robot to Reproduce Squats.
Proceedings of the 10th International Conference on Control, Mechatronics and Automation, 2022

2021
EEG motor/imagery signal classification comparative using machine learning algorithms.
Proceedings of the 18th International Conference on Electrical Engineering, 2021

Bone Tissue Scaffolds Designed With A Porosity Gradient Based On Triply Periodic Minimal Surfaces Using A Parametric Approach.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach.
IEEE Trans. Neural Networks Learn. Syst., 2020

Interface Pressure System to Compare the Functional Performance of Prosthetic Sockets during the Gait in People with Trans-Tibial Amputation.
Sensors, 2020

Reduced Order Finite Element Model Techniques for Setpoint Control.
Proceedings of the 17th International Conference on Electrical Engineering, 2020

2019
Non-static object reconstruction system based on multiple RGB-D cameras.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

2018
Modeling of the temperature distribution of a greenhouse using finite element differential neural networks.
Kybernetika, 2018

2017
Adaptive simulated annealing for tuning PID controllers.
AI Commun., 2017

2016
Distributed parameter system identification using finite element differential neural networks.
Appl. Soft Comput., 2016

2014
Platform for the study of virtual task-oriented motion and its evaluation by EEG and EMG biopotentials.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Discrete Wavelet transform and ANFIS classifier for Brain-Machine Interface based on EEG.
Proceedings of the 6th International Conference on Human System Interactions, 2013

2012
DNN-state identification of 2D distributed parameter systems.
Int. J. Syst. Sci., 2012

Neuro-observer based on backstepping technique for distributed parameters systems.
Proceedings of the 9th International Conference on Electrical Engineering, 2012

2010
Continuous Neural Networks Applied to identify a class of uncertain parabolic Partial differential equations.
Int. J. Model. Simul. Sci. Comput., 2010

Robust identification of uncertain Schrödinger type complex partial differential equations.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

2009
Neural numerical modeling for uncertain distributed parameter systems.
Proceedings of the International Joint Conference on Neural Networks, 2009

Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks.
Proceedings of the Artificial Neural Networks, 2009

2006
Switching Learning Law for Differential Neural Observer for Biodegradation Process.
Proceedings of the International Joint Conference on Neural Networks, 2006


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