The problem of weeds in crops is a natural problem for farmers. Machine Learning (ML),
Deep Learning (DL), and Unmanned Aerial Vehicles (UAV) are among the advanced …

Rainstorm disasters have had a serious impact on the sustainable development of society
and the economy. However, due to the complexity of rainstorm disasters, it is difficult to …

Predicting water levels in urban storm-water sewer systems is a critical study that could
provide vital information to help reduce the risk of flooding. This study proposed a new …

As global climates undergo changes, the frequency of water-related disasters rises, leading
to significant economic losses and safety hazards. During flood events, river water levels …

Flood prediction in hilly regions, characterized by rapid flow rates and high destructive
potential, remains a significant challenge. This study addresses this problem by introducing …

In recent years, deep learning has been widely used as an efficient prediction algorithm.
However, this algorithm has strict requirements on the size of training samples. If there are …

With the popularity and rapid iteration of mobile devices and Internet of things IoT devices,
as well as the rapid development of machine learning research and application, the demand …