Publikationen in Zusammenarbeit mit Forschern von Hazara University (31)

2023

  1. A Radial Basis Scale Conjugate Gradient Deep Neural Network for the Monkeypox Transmission System

    Mathematics, Vol. 11, Núm. 4

  2. A Soft Computing Scaled Conjugate Gradient Procedure for the Fractional Order Majnun and Layla Romantic Story

    Mathematics, Vol. 11, Núm. 4

  3. A Swarming Meyer Wavelet Computing Approach to Solve the Transport System of Goods

    Axioms, Vol. 12, Núm. 5

  4. A stochastic computational scheme for the computer epidemic virus with delay effects

    AIMS Mathematics, Vol. 8, Núm. 1, pp. 148-163

  5. Artificial neural network procedures for the waterborne spread and control of diseases

    AIMS Mathematics, Vol. 8, Núm. 1, pp. 2435-2452

2022

  1. A COMPUTATIONAL APPROACH TO SOLVE THE NONLINEAR BIOLOGICAL PREY-PREDATOR SYSTEM

    Fractals, Vol. 30, Núm. 10

  2. A heuristic computing approach using sequential quadratic programming to solve the fifth kind of induction motor model

    Fractals, Vol. 30, Núm. 10

  3. 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

  4. Design of Mayer Wavelet Neural Networks for Solving Functional Nonlinear Singular Differential Equation

    Mathematical Problems in Engineering, Vol. 2022

  5. Design of neuro-swarming computational solver for the fractional Bagley–Torvik mathematical model

    European Physical Journal Plus, Vol. 137, Núm. 2

  6. Neuro-swarm computational heuristic for solving a nonlinear second-order coupled Emden–Fowler model

    Soft Computing, Vol. 26, Núm. 24, pp. 13693-13708

2021

  1. 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

  2. DESIGN of NEURO-SWARMING HEURISTIC SOLVER for MULTI-PANTOGRAPH SINGULAR DELAY DIFFERENTIAL EQUATION

    Fractals, Vol. 29, Núm. 5

  3. Integrated intelligent computing paradigm for nonlinear multi-singular third-order Emden–Fowler equation

    Neural Computing and Applications, Vol. 33, Núm. 8, pp. 3417-3436

  4. Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model

    Chaos, Solitons and Fractals, Vol. 152

  5. 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

  6. 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

  7. 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

  8. Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques

    Applied Soft Computing, Vol. 102

  9. 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