Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.

A smart Maven plugin that generates textual tree-like coverage reports from JaCoCo execution data with intelligent auto-detection of project configurations. Displays coverage metrics (Class %, Method ...

Abstract: Due to the fundamental differences in structure between tabular data and image data, CNNs (Convolutional Neural Networks) are challenging to apply directly to the analysis and classification ...