José Francisco Gómez-Aguilar

Orcid: 0000-0001-9403-3767

According to our database1, José Francisco Gómez-Aguilar authored at least 61 papers between 2015 and 2026.

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

Timeline

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Bibliography

2026
Stochastic computing treatment of Tuberculosis disease via Levenberg-Marquardt recurrent neural networks.
Netw. Model. Anal. Health Informatics Bioinform., December, 2026

Higher-order interactions in the spatio-temporal dynamics of Leslie-Gower predator-prey systems.
Comput. Appl. Math., September, 2026

An efficient neural network approach for the susceptible, infected, recovered and cross-immune delay differential system.
Int. J. Model. Simul. Sci. Comput., February, 2026

Mathematical model for wireless communication via microstrip antennas involving contemporary operators.
Int. J. Model. Simul. Sci. Comput., February, 2026

Successive approximation and stability analysis of Hilfer fractional stochastic differential systems with application to circuits.
Int. J. Syst. Sci., January, 2026

Analytical solutions of fractional Burgers' equation with exponential extension kernel derivatives.
J. Comput. Appl. Math., 2026

Modeling for dynamical aspects of smoking abuse with e-cigarette users: Threshold dynamics and optimal control strategies.
Comput. Biol. Medicine, 2026

2025
Enhanced numerical solutions of fractional differential equations via fibonacci neural networks.
Int. J. Model. Simul. Sci. Comput., December, 2025

Hopf bifurcation and stability analysis of delayed Gauss-type Plant-Herbivore model with Holling type-III functional response.
Int. J. Model. Simul. Sci. Comput., October, 2025

Numerical simulation of Ebola transmission disease dynamics using fractional derivatives involving real data for more effective prediction.
Int. J. Model. Simul. Sci. Comput., October, 2025

On the estimation of optical flow: A novel robust estimation based in fractional derivatives with kernel exponential.
Int. J. Model. Simul. Sci. Comput., August, 2025

Expert system for the parabolic trough collector control through classical and conformable transfer functions in ANNi-PSO.
Expert Syst. Appl., 2025

2024
An Improved Object Detection Algorithm Based on the Hessian Matrix and Conformable Derivative.
Circuits Syst. Signal Process., August, 2024

An efficient technique for object recognition using fractional Harris-Stephens corner detection algorithm.
Multim. Tools Appl., 2024

Numerical performances based artificial neural networks to deal with the computer viruses spread on the complex networks.
Int. J. Comput. Math., 2024

2023
Assessment of the performance of the hyperbolic-NILT method to solve fractional differential equations.
Math. Comput. Simul., April, 2023

An efficient numerical method to solve ordinary differential equations using Fibonacci neural networks.
Comput. Appl. Math., February, 2023

Neuro-Evolutionary Computing Paradigm for the SIR Model Based on Infection Spread and Treatment.
Neural Process. Lett., 2023

2022
Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes.
Neural Networks, 2022

Applications of Fractional Operators in Robotics: A Review.
J. Intell. Robotic Syst., 2022

Stability analysis of Atangana-Baleanu fractional stochastic differential systems with impulses.
Int. J. Syst. Sci., 2022

Investigating the dynamics of Hilfer fractional operator associated with certain electric circuit models.
Int. J. Circuit Theory Appl., 2022

Fractal-fractional neuro-adaptive method for system identification.
Eng. Comput., 2022

Numerical solution of fractal-fractional Mittag-Leffler differential equations with variable-order using artificial neural networks.
Eng. Comput., 2022

Shifted Chebyshev collocation of the fourth kind with convergence analysis for the space-time fractional advection-diffusion equation.
Eng. Comput., 2022

Variable-order fractal-fractional time delay equations with power, exponential and Mittag-Leffler laws and their numerical solutions.
Eng. Comput., 2022

Two efficient numerical schemes for simulating dynamical systems and capturing chaotic behaviors with Mittag-Leffler memory.
Eng. Comput., 2022

A new iterative method with ρ-Laplace transform for solving fractional differential equations with Caputo generalized fractional derivative.
Eng. Comput., 2022

Generalized synchronization of commensurate fractional-order chaotic systems: Applications in secure information transmission.
Digit. Signal Process., 2022

Mathematical modeling of COVID-19 pandemic in India using Caputo-Fabrizio fractional derivative.
Comput. Biol. Medicine, 2022

2021
Modification of the Marching Cubes Algorithm to Obtain a 3D Representation of a Planar Image.
Program. Comput. Softw., 2021

Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells.
Math. Comput. Simul., 2021

Numerical study for the fractional RL, RC, and RLC electrical circuits using Legendre pseudo-spectral method.
Int. J. Circuit Theory Appl., 2021

2020
Novel Fractional Operators with Three Orders and Power-Law, Exponential Decay and Mittag-Leffler Memories Involving the Truncated M-Derivative.
Symmetry, 2020

Modeling Alcohol Concentration in Blood via a Fractional Context.
Symmetry, 2020

Portable Device as Vein and Artery Viewer in vivo and in situ.
Res. Comput. Sci., 2020

Fractional speeded up robust features detector with the Caputo-Fabrizio derivative.
Multim. Tools Appl., 2020

Modelling of Chaotic Processes with Caputo Fractional Order Derivative.
Entropy, 2020

Optimal Control of Time-Delay Fractional Equations via a Joint Application of Radial Basis Functions and Collocation Method.
Entropy, 2020

A New Fractional-Order Mask for Image Edge Detection Based on Caputo-Fabrizio Fractional-Order Derivative Without Singular Kernel.
Circuits Syst. Signal Process., 2020

FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane-Emden system.
Comput. Appl. Math., 2020

2019
Marching Cubes Algorithm for Transforming Images.
POLIBITS, 2019

Classical and fractional-order modeling of equivalent electrical circuits for supercapacitors and batteries, energy management strategies for hybrid systems and methods for the state of charge estimation: A state of the art review.
Microelectron. J., 2019

A new modified definition of Caputo-Fabrizio fractional-order derivative and their applications to the Multi Step Homotopy Analysis Method (MHAM).
J. Comput. Appl. Math., 2019

Determination of supercapacitor parameters based on fractional differential equations.
Int. J. Circuit Theory Appl., 2019

Heat Transfer Coefficients Analysis in a Helical Double-Pipe Evaporator: Nusselt Number Correlations through Artificial Neural Networks.
Entropy, 2019

Blood vessel detection based on fractional Hessian matrix with non-singular Mittag-Leffler Gaussian kernel.
Biomed. Signal Process. Control., 2019

Global optimization algorithms applied to solve a multi-variable inverse artificial neural network to improve the performance of an absorption heat transformer with energy recycling.
Appl. Soft Comput., 2019

2018
Fractional operator without singular kernel: Applications to linear electrical circuits.
Int. J. Circuit Theory Appl., 2018

Chaotic Attractors with Fractional Conformable Derivatives in the Liouville-Caputo Sense and Its Dynamical Behaviors.
Entropy, 2018

Exploring the Cross-Correlation as a Means for Detecting Digital Watermarks and Its Reformulation Into the Fractional Calculus Framework.
IEEE Access, 2018

2017
Procesamiento digital de imágenes implementado en LabVIEW para sistemas biológicos y nanomateriales.
Res. Comput. Sci., 2017

Electrical circuits RC, LC, and RL described by Atangana-Baleanu fractional derivatives.
Int. J. Circuit Theory Appl., 2017

Chaos in a Cancer Model via Fractional Derivatives with Exponential Decay and Mittag-Leffler Law.
Entropy, 2017

Bateman-Feshbach Tikochinsky and Caldirola-Kanai Oscillators with New Fractional Differentiation.
Entropy, 2017

Parameter identification of periodical signals: Application to measurement and analysis of ocean wave forces.
Digit. Signal Process., 2017

Design of a state observer to approximate signals by using the concept of fractional variable-order derivative.
Digit. Signal Process., 2017

2016
A New Methodology for Tracking and Instantaneous Characterization of Voltage Variations.
IEEE Trans. Instrum. Meas., 2016

Analytical Solutions of the Electrical RLC Circuit via Liouville-Caputo Operators with Local and Non-Local Kernels.
Entropy, 2016

Modeling and simulation of the fractional space-time diffusion equation.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Modeling of a Mass-Spring-Damper System by Fractional Derivatives with and without a Singular Kernel.
Entropy, 2015


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