Spatiotemporal Variability, Geospatial Analysis, Sustainable Development Goals (SDGs) Share and Cite: Hart, L. , Garuba, L. , ...

The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these data sets are the bedrock of the financial system since they support a ...

Abstract: Matlab is a matrix-processing language that offers very efficient built-in operations for data organized in arrays. However Matlab operation is slow when the program accesses data through ...

For summarizing and analyzing vascular networks from grayscale, volumetric images. Use this software for locating, sizing, and mapping the connectivity of the depicted vascular networks.

Graphics tools are essential to manipulate visual models and pictures on a computer. If you are working on images like PNG or JPG, an editing tool like Adobe Photoshop is one that surely flashes your ...

Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...

1 School of Electric Power Engineering, South China University of Technology, Guangzhou, China 2 The Grid Planning and Research Center of Guangdong Power Grid Corporation, Guangzhou, China With the ...

Vectorization, the hardware optimization technique synonymous with early vector supercomputers like the Cray-1 (1975), has reappeared with even greater importance than before. 40+ years later, the AVX ...