Abstract: Automatic grading requires the adaption of the latest technologies. It has become essential especially when most of the courses became online courses (MOOCs). The objectives of the current ...

IRMSD is a Python library for computing the optimal root-mean-square-deviation between pairs of structures (e.g., protein conformations). It is based on the Theobald QCP method, and because of an ...

A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization. Also: a glossary of useful terms and a collection of relevant papers and references. Many machine ...

Abstract: This study presents a new technique that integrates LabVIEW and Python to enhance the control of DC motor drives through the utilization of machine learning methods. The objective of our ...

Three models for yearly time series predictions were built: autoregressive integrated moving average (ARIMA), simple exponential smoothing (SES), and Holt's double expansional smoothing (HDES) models.