Recently, the rapid development of deep learning has greatly improved the performance of
image classification. However, a central problem in hyperspectral image (HSI) classification …

With the rapid development of the air transportation industry, air traffic is facing a severe test.
The accurate prediction of the estimated arrival time (EAT) plays an important role in rational …

Abstract Study region Tai Lake, the third largest freshwater lake in China, with a history of
serious ecological pollution incidents. Study focus Lake water quality prediction techniques …

Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …

In recent years, deep neural networks have shown superior performance in various fields,
but interpretability has always been the Achilles' heel of deep neural networks. The existing …

Gate allocation is a combinatorial scheduling problem with multi-constraint and multi-
objective. It is challenging to solve this problem when the size of flights increases …

Depression is a serious mental disorder, significantly burdens individuals, families, and
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …

Interactions between light and matter during short-pulse water-jet guided laser materials
processing are highly nonlinear, and acutely sensitive to laser machining parameters …

Timely and accurate misalignment fault detection in rotor bearing systems is crucial for
reliable and efficient operation, especially in Industry 4.0 based condition monitoring. The …

Fault diagnosis is integral to maintenance practices, ensuring optimal machinery
functionality. While traditional methods relied on human expertise, intelligent fault diagnosis …