Results 161 to 170 of about 1,408 (174)

Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis. [PDF]

Sci Rep
Molla T, Duraisamy P, Rajagopal K, Karthikeyan A, Boulaaras S.   +4 more
europepmc   +1 more source

Analytical solution of fuzzy heat problem in two-dimensional case under Caputo-type fractional derivative. [PDF]

PLoS One
Nadeem M, Yilin C, Kumar D, Alsayyad Y.
europepmc   +1 more source

Viscoelastic characterization of the human osteosarcoma cancer cell line MG-63 using a fractional-order zener model through automated algorithm design and configuration. [PDF]

Sci Rep
Duque-Gimenez GC, Zambrano-Gutierrez DF, Rodriguez-Nieto M, Menchaca JL, Cruz-Duarte JM, Zárate-Triviño DG, Avina-Cervantes JG, Ortiz-Bayliss JC.   +7 more
europepmc   +1 more source

Transmission dynamics and stability analysis of fractional HIV and AIDS epidemic model with antiretroviral therapy. [PDF]

Sci Rep
Huang L, Anjam YN, Ali A, Rehman B, Tahir MA.   +4 more
europepmc   +1 more source

Analysis of COVID-19 model under Caputo fractional derivative with case study of Algeria

, 2023
Benterki A, Benbachir M.
europepmc   +1 more source

Fractional differential quadrature method for modeling composite halide perovskite solar cells. [PDF]

Sci Rep
Almetwally EM, Ragb O, Salah M, Salah M, Mohamed M.   +4 more
europepmc   +1 more source

System of Time Fractional Models for COVID-19: Modeling, Analysis and Solutions

, 2021
Iyiola OS, Oduro B, Zabilowicz T, Iyiola B, Kenes D.   +4 more
europepmc   +1 more source

Modeling and analysis of Hepatitis B dynamics with vaccination and treatment with novel fractional derivative. [PDF]

PLoS One
Zehra A, Jamil S, Farman M, Nisar KS.
europepmc   +1 more source

Accurate prediction of protein-ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network. [PDF]

Sci Rep
Guo M, Tu Y, Yu J, Wang Y.
europepmc   +1 more source

Fractional-Order Modeling of Heat and Moisture Transfer in Anisotropic Materials Using a Physics-Informed Neural Network. [PDF]

Materials (Basel)
Sokolovskyy Y, Drozd K, Samotii T, Boretska I.   +3 more
europepmc   +1 more source