ABSTRACT: Expansive soils present a significant geohazard to light infrastructure worldwide, causing costly damage through swelling and shrinkage cycles driven by moisture content changes. One key ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

Currently the examples in the documentation are limited to regression. Adding a simple example for classification on a relatively small dataset (two moons, MNIST, CIFAR10 etc.) would help illustrate ...

A new study by researchers at Columbia University has revealed the states that have higher rates of arsenic in public drinking water systems, most of which are in the West and Midwest. Michigan, South ...

1 College of Dryland Agriculture, Samara University, Samara, Ethiopia 2 School of Plant and Horticultural Sciences, College of Agriculture, Hawassa University, Hawassa, Ethiopia Introduction: Soil ...

Abstract: Many studies have achieved excellent performance in analyzing graph-structured data. However, learning graph-level representations for graph classification is still a challenging task.

TITLE: Determination of Organic Matter and Trace Metals Elements (As, Sb, Cd, Hg, Ni, Pb, Cr, Zn) in the Soils of the Banks of Watercourses in Brazzaville City (Republic of Congo) ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...