Juan Luis
García Guirao
Catedrático de Universidad
![Foto de Juan Luis](/img/uploaded/6521b7c3f82d2baabf7e810f7d09a23b.jpg)
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Hazara University
Baffa, PakistánPublicaciones en colaboración con investigadores/as de Hazara University (31)
2023
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A Radial Basis Scale Conjugate Gradient Deep Neural Network for the Monkeypox Transmission System
Mathematics, Vol. 11, Núm. 4
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A Soft Computing Scaled Conjugate Gradient Procedure for the Fractional Order Majnun and Layla Romantic Story
Mathematics, Vol. 11, Núm. 4
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A Swarming Meyer Wavelet Computing Approach to Solve the Transport System of Goods
Axioms, Vol. 12, Núm. 5
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A stochastic computational scheme for the computer epidemic virus with delay effects
AIMS Mathematics, Vol. 8, Núm. 1, pp. 148-163
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Artificial neural network procedures for the waterborne spread and control of diseases
AIMS Mathematics, Vol. 8, Núm. 1, pp. 2435-2452
2022
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A COMPUTATIONAL APPROACH TO SOLVE THE NONLINEAR BIOLOGICAL PREY-PREDATOR SYSTEM
Fractals, Vol. 30, Núm. 10
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A heuristic computing approach using sequential quadratic programming to solve the fifth kind of induction motor model
Fractals, Vol. 30, Núm. 10
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A novel design of Gudermannian function as a neural network for the singular nonlinear delayed, prediction and pantograph differential models
Mathematical Biosciences and Engineering, Vol. 19, Núm. 1, pp. 663-687
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Design of Mayer Wavelet Neural Networks for Solving Functional Nonlinear Singular Differential Equation
Mathematical Problems in Engineering, Vol. 2022
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Design of neuro-swarming computational solver for the fractional Bagley–Torvik mathematical model
European Physical Journal Plus, Vol. 137, Núm. 2
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Neuro-swarm computational heuristic for solving a nonlinear second-order coupled Emden–Fowler model
Soft Computing, Vol. 26, Núm. 24, pp. 13693-13708
2021
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A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems
Alexandria Engineering Journal, Vol. 60, Núm. 2, pp. 2641-2659
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DESIGN of NEURO-SWARMING HEURISTIC SOLVER for MULTI-PANTOGRAPH SINGULAR DELAY DIFFERENTIAL EQUATION
Fractals, Vol. 29, Núm. 5
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Integrated intelligent computing paradigm for nonlinear multi-singular third-order Emden–Fowler equation
Neural Computing and Applications, Vol. 33, Núm. 8, pp. 3417-3436
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Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
Chaos, Solitons and Fractals, Vol. 152
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Neuro-Swarm heuristic using interior-point algorithm to solve a third kind of multi-singular nonlinear system
Mathematical Biosciences and Engineering, Vol. 18, Núm. 5, pp. 5285-5308
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Solution of novel multi-fractional multi-singular Lane–Emden model using the designed FMNEICS
Neural Computing and Applications, Vol. 33, Núm. 24, pp. 17287-17302
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Solving a class of biological hiv infection model of latently infected cells using heuristic approach
Discrete and Continuous Dynamical Systems - Series S, Vol. 14, Núm. 10, pp. 3611-3628
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Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques
Applied Soft Computing, Vol. 102
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Swarm intelligence procedures using meyer wavelets as a neural network for the novel fractional order pantograph singular system
Fractal and Fractional, Vol. 5, Núm. 4