Abstract: The use of Kernel Density Visualization (KDV) has become widespread in a number of disciplines, including geography, crime science, transportation science, and ecology, for analyzing ...

ABSTRACT: The spatial distribution of green food enterprises reflects the level of agricultural modernization and ecological civilization construction within a region. Research into this distribution ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Fullstack project combining a trained ResNet-101, FastAPI, and Streamlit. Upload an image or URL to classify cats vs dogs, with advanced CNN interpretability (Grad-CAM, feature maps, occlusion). Fully ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...

Abstract: The Linux kernel is one of the largest and longest-maintained open-source projects in existence. With tens of thousands of source code files, understanding the program’s internal structure ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Does trying to get a grip on the concept of “test weight” all but drive you loony? Don’t feel bad. Even specialists acknowledge it’s a hard idea to wrap your head around. “Test weight is an odd data ...