Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Abstract: Objective: This work examines the claim made in the literature that the inverse problem associated with image reconstruction in sparse-view computed tomography (CT) can be solved with a ...

This brief presents updated estimates of severe maternal morbidity overall and across demographic and geographic ...

The question is not how clinicians can be made more resilient. It is why an institution performing at the highest level of ...

Abstract: Diverse inverse problems in imaging can be cast as variational problems composed of a task-specific data fidelity term and a regularization term. In this paper, we propose a novel learnable ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Researchers at the University of Kentucky Sanders-Brown Center on Aging have uncovered evidence that a single genetic variant ...

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These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.

Epilepsy refers to a group of neurological disorders of varying aetiology, characterized by recurrent brain dysfunction that result from sudden excessive and disordered neuronal discharge. These ...

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