Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Causal inference is known to be very challenging when only observational data are available. Randomized experiments are often costly and impractical and in instrumental variable regression the number ...

Abstract: Recently, recurrent neural networks have been extensively utilized to address a time-dependent system of linear equations (TDSLEs) with inequality systems. Nevertheless, these existing ...

Solving equations with variables on both sides can be a bit tricky compared to linear equations with a variable on one side. However, with the right techniques and practice, finding the solution can ...

In this paper, a numerical fully discrete scheme based on the finite element approximation for the distributed order time fractional variable coefficient diffusion ...

Abstract: End effects and edge effects are common phenomena in linear machines, and these phenomena adversely affect the performance of linear electromagnetic structures. In this article, novel ...

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