Results 151 to 160 of about 2,529,562 (187)
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Mathematical analysis of nonlinear models and their role in dynamics
Modern physics letters B, 2023Micropolar fluids provide a more accurate description of fluid behavior at small scales, where classical continuum models may fail to capture complicated microscale interactions. These interactions become significant in situations involving non-Newtonian
Shahida Rehman, Noor Muhammad
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Numerical Heat Transfer, Part B Fundamentals, 2022
This study considered a classical magnetohydrodynamics (MHD) mixed convection heat and mass transfer flow over an inclined porous plate with thermophoresis, Joule heating, viscous dissipation, and nonlinear thermal radiation.
B. Jha, Gabriel Samaila
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This study considered a classical magnetohydrodynamics (MHD) mixed convection heat and mass transfer flow over an inclined porous plate with thermophoresis, Joule heating, viscous dissipation, and nonlinear thermal radiation.
B. Jha, Gabriel Samaila
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IEEE Transactions on Control Systems Technology, 2021
This brief studies a novel residual vibration suppression problem arising in a high-speed macromicromanipulator system designed for various precision positioning tasks.
Tehuan Chen +3 more
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This brief studies a novel residual vibration suppression problem arising in a high-speed macromicromanipulator system designed for various precision positioning tasks.
Tehuan Chen +3 more
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, 2011
Several different problems make the study of the so called Lyapunov type inequalities of great interest, both in pure and applied mathematics. Although the original historical motivation was the study of the stability properties of the Hill equation ...
A. Cañada, S. Villegas
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Several different problems make the study of the so called Lyapunov type inequalities of great interest, both in pure and applied mathematics. Although the original historical motivation was the study of the stability properties of the Hill equation ...
A. Cañada, S. Villegas
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International Conference on Advances in System Simulation, 2022
Blockade of programmed death-ligand-1 (PD-L1) as a new method of immunotherapy for cancers has shown limited efficacy in hepatocellular carcinoma (HCC). The combination of anti-PD-L1 and radiotherapy (RT) enhances the antitumor effect in HCC cancer.
Sajad Shafiekhani +2 more
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Blockade of programmed death-ligand-1 (PD-L1) as a new method of immunotherapy for cancers has shown limited efficacy in hepatocellular carcinoma (HCC). The combination of anti-PD-L1 and radiotherapy (RT) enhances the antitumor effect in HCC cancer.
Sajad Shafiekhani +2 more
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International Journal of Biomathematics, 2019
Approximate analytical solution of the system of coupled nonlinear Ordinary Differential Equations (ODEs) of a biochemical reaction model is much relevant due to its practical significance to biochemists.
V. Dubey, Rajnesh Kumar, Devendra Kumar
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Approximate analytical solution of the system of coupled nonlinear Ordinary Differential Equations (ODEs) of a biochemical reaction model is much relevant due to its practical significance to biochemists.
V. Dubey, Rajnesh Kumar, Devendra Kumar
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Analysis and numerical solutions of delay differential algebraic equations
, 2015With this thesis, we aim to lay the foundation for the solvability analysis of initial value problems (IVPs) for delay differential-algebraic equations (DDAEs).
Phi Ha
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Bayesian sampling using interacting particles
arXiv.orgBayesian sampling is an important task in statistics and machine learning. Over the past decade, many ensemble-type sampling methods have been proposed.
Shi Chen, Zhiyan Ding, Qin Li
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UMYU Scientifica
Study’s Excerpt:• The study evaluates numerical methods for ODEs to guide suitable model simulations.• Adomian Decomposition suits decay/growth models; block method excels in all problems, including SIR.• The study highlights numerical methods' ease and ...
Adamu Samuel +4 more
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Study’s Excerpt:• The study evaluates numerical methods for ODEs to guide suitable model simulations.• Adomian Decomposition suits decay/growth models; block method excels in all problems, including SIR.• The study highlights numerical methods' ease and ...
Adamu Samuel +4 more
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High-order expansion of Neural Ordinary Differential Equations flows
arXiv.orgArtificial neural networks, widely recognised for their role in machine learning, are now transforming the study of ordinary differential equations (ODEs), bridging data-driven modelling with classical dynamical systems and enabling the development of ...
Dario Izzo +3 more
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