Global Artificial Intelligence in Agriculture Market size was valued at USD 2.96 Billion in 2025, and its market size and revenue are projected to expand at a robust CAGR of 21.5% from 2025 to 2032, ...

Finding the inert samples in Marathon can be maddening, as their possible spawns are all over Dire Marsh and tend to be in or ...

A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.

The central limit theorem started as a bar trick for 18th-century gamblers. Now scientists rely on it every day.

Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

School of Mathematics and Statistics, Southwest University, Chongqing, China. Shifting focus to the skew-t-normal distribution, Yang and Hu (2025) focused on the skew-t-normal distribution, discussing ...

In the context of climate change and urban expansion, understanding unsaturated soil behavior is critical for designing resilient infrastructure. Soil moisture retention influences stormwater ...