A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Unary computing is a relatively new method for implementing arbitrary nonlinear functions that uses unpacked thermometer number encoding, enabling much lower hardware costs. In its original form, ...

The TaylorS converts the non-linear regression problem into a multi-order non-linear approximation problem by plugging a Taylor expansion into the forecasting task. To achieve this, we design a ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

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

With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treatment of metabolic dysfunction-associated steatotic liver disease (MASLD) has potentially entered a ...

Nature is marked not only by struggles for survival, but also by remarkable feats of cooperation. From microbes to insects to humans, organisms work together in a variety of ways to gather and share ...

Nonlinear Regression: Estimating Hand-to-Camera Distance This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the ...