Rita Quetziquel Fuentes-Aguilar
Orcid: 0000-0003-2559-539X
According to our database1,
Rita Quetziquel Fuentes-Aguilar
authored at least 30 papers
between 2006 and 2024.
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Bibliography
2024
Convolutional neural networks for pattern classifying based on parameterized predefined sequence of image filters.
Neural Comput. Appl., August, 2024
Improving Blood Vessel Segmentation and Depth Estimation in Laser Speckle Images Using Deep Learning.
Inf., April, 2024
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
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
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
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
Proceedings of the 17th International Conference on Electrical Engineering, 2020
2019
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
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
Int. J. Syst. Sci., 2012
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
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
2006
Proceedings of the International Joint Conference on Neural Networks, 2006