Objective: In this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...

A new technical paper titled “Experimental demonstration of magnetic tunnel junction-based computational random-access memory” was published by researchers at University of Minnesota and University of ...

The deployment of large language models (LLMs) has become central to many applications, from synthetic data generation to fine-tuning models for specific tasks. With their vast capabilities, these ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...