Taufiquar Khan
Orcid: 0009-0006-0295-8505
According to our database1,
Taufiquar Khan
authored at least 21 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and stocking.
J. Comput. Appl. Math., January, 2024
The Carleman-Newton method to globally reconstruct the initial condition for nonlinear parabolic equations.
J. Comput. Appl. Math., 2024
Sensitivity Analysis and Monte Carlo Based Uncertainty Quantification of the In-process Modal Parameters in Milling.
CoRR, 2024
Stocking and Harvesting Effects in Advection-Reaction-Diffusion Model: Exploring Decoupled Algorithms and Analysis.
CoRR, 2024
A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography.
CoRR, 2024
2023
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks.
Entropy, March, 2023
The evolution of resource distribution, slow diffusion, and dispersal strategies in heterogeneous populations.
Frontiers Appl. Math. Stat., 2023
Recovering the Forcing Function in Systems with One Degree of Freedom Using ANN and Physics Information.
Algorithms, 2023
Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem.
Algorithms, 2023
Physics-Informed Neural Networks for the Heat Equation with Source Term under Various Boundary Conditions.
Algorithms, 2023
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography.
SIAM J. Imaging Sci., 2022
Dynamics of heterogeneous population due to spatially distributed parameters and an ideal free pair.
Frontiers Appl. Math. Stat., 2022
The Carleman-Newton method to globally reconstruct a source term for nonlinear parabolic equation.
CoRR, 2022
2020
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography.
CoRR, 2020
CoRR, 2020
2019
Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography.
Appl. Math. Comput., 2019
2015
Improving the Efficacy of Car-Following Models With a New Stochastic Parameter Estimation and Calibration Method.
IEEE Trans. Intell. Transp. Syst., 2015
Proceedings of the International Conference on Computational Science, 2015
2005
1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss-Newton algorithm.
Appl. Math. Comput., 2005