Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
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 ...
Seven years ago, El Salvador made global headlines as the first country in the world to ban all metal mining. The decision was hailed as a victory for environmental protection, celebrated by local ...
If you’re having trouble with undersized vegetables, a poor showing of flowers, and/or trees that aren't flourishing, there are only two likely culprits: soil and water. These are going to have the ...
Abstract: Soil texture classification is pivotal in diverse fields, such as agriculture, environmental science, geology, civil engineering, and land management. Traditional approaches to soil texture ...
Climate change is affecting our food, and our food is affecting the climate. NPR is dedicating a week to stories and conversations about the search for solutions. FRENCHMANS BAYOU, Ark. — Will ...
PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
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.
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