• A bio inspired learning scheme for the fractional order kidney function model with neural networks 

      Sabir, Zulqurnain; Ahmad Bhat, Shahid; Wahab, Hafiz Abdul; Camargo, Maria Emilia; Abildinova, Gulmira; Zulpykhar, Zhandos (Chaos, Solitons and Fractals, 2024)
      The numerical procedures of the fractional order kidney function model (FO-KFM) are presented in this study. These derivatives are implemented to get the precise and accurate solutions of FO-KFM. The nonlinear form of KFM is separated into human (infected, susceptible, recovered) and the components of water (calcium, mag nesium). Three cases of FO-KFM are numerically accessible ...
      2025-01-08
    • A bio inspired learning scheme for the fractional order kidney function model with neural networks 

      Sabir, Zulqurnain; Ahmad Bhat, Shahid; Wahab, Hafiz Abdul; Camargo, Maria Emilia; Abildinova, Gulmira; Zulpykhar, Zhandos (Chaos, Solitons and Fractals, 2024)
      The numerical procedures of the fractional order kidney function model (FO-KFM) are presented in this study. These derivatives are implemented to get the precise and accurate solutions of FO-KFM. The nonlinear form of KFM is separated into human (infected, susceptible, recovered) and the components of water (calcium, mag nesium). Three cases of FO-KFM are numerically accessible ...
      2024-12-13
    • A bio inspired learning scheme for the fractional order kidney function model with neural networks 

      Sabir, Zulqurnain; Bhat, Shahid Ahmad; Wahab, Hafiz Abdul; Camargo, Maria Emilia; Abildinova, Gulmira; Zulpykhar, Zhandos (Chaos, Solitons and Fractals, 2024)
      The numerical procedures of the fractional order kidney function model (FO-KFM) are presented in this study. These derivatives are implemented to get the precise and accurate solutions of FO-KFM. The nonlinear form of KFM is separated into human (infected, susceptible, recovered) and the components of water (calcium, mag nesium). Three cases of FO-KFM are numerically accessible ...
      2026-03-26