Smart cities are urban areas that utilize digital solutions to enhance the efficiency of
conventional networks and services for sustainable growth, optimized resource …

The greatest environmental problem facing the world today is climate change, with a rise in
sea level being one of the most important consequences, especially in low-lying coastal …

With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …

Accurate prediction of soil moisture (SM) and soil temperature (ST) plays an important role in
Earth system science, hel** to forecast and understand ecosystem changes. They present …

Long short-term memory (LSTM) networks have demonstrated their excellent capability in
processing long-length temporal dynamics and have proven to be effective in precipitation …

Scene classification aims to classify various objects and land use classes such as farms,
highways, rivers, and airplanes in the remote sensing images. In recent times, the …

With the recent advances in the Internet of Things (IoT) technologies, various human-
centered applications have proliferated and improved the quality of users' life. In the …

The water quality long-term prediction is essential to water environment management
decisions. In recent years, although water quality prediction methods based on deep …

Most of the data-driven satellite telemetry data anomaly detection methods suffer from high
false positive rate (FPR) and poor interpretability. To solve the above problems, we propose …

It is of great significance for the operation and management of waterworks to accurately
predict the raw water quality. In this study, the turbidity and CODcr of raw water with light …