Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

In view of the universal existence of multi-source uncertainty factors in engineering
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …

Organic waste-derived carbon-based materials (CBMs) are commonly applied in
sustainable wastewater treatment and waste management. CBMs can remove toxic, non …

Unmanned aerial vehicles are prone to several cyber-attacks, including Global Positioning
System spoofing. Several techniques have been proposed for detecting such attacks …

In recent years, with the gradual depletion of shallow mineral resources, the exploitation of
deep mineral resources has become an inevitable trend. Microseismic monitoring is one of …

This paper presents an approach for image classification based on an ensemble of
convolutional neural networks and the application to a real case study of an industrial …

Needle-in-a-Haystack problems exist across a wide range of applications including rare
disease prediction, ecological resource management, fraud detection, and material property …

The safety factor is a critical indicator in evaluating the slope stability. However, many
defects, such as excessive assumptions and insufficient consideration of influencing factors …

Ensuring accurate estimation of seepage loss is critical for advancing water sustainability,
especially in water-scarce regions. This study is aimed at evaluating the performance of …

Abstract Time Series Classification (TSC) is an intricate problem that has encountered
applications in various science fields. Accordingly, many researchers have presented …