Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...