This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …

For many years, spectral remote sensing has been essential for research on the Earth's
surface. The data from a single satellite sensor is sometimes insufficient to fulfil the …

A digital elevation model (DEM) is crucial for hydraulic/hydrodynamic simulation of urban
pluvial flooding. To reduce the simulation error caused by the low resolution and poor …

The Shuttle Radar Topographic Mission (SRTM) digital elevation model (DEM) is a widely
utilized product for geological, climatic, oceanic, and ecological applications. However, the …

Digital elevation models (DEMs) have a wide range of applications and play a crucial role in
many studies. Numerous public DEMs, frequently acquired using radar and optical satellite …

Conventional land surveying, while reliable, is limited by factors such as restricted area
coverage, time-intensive procedures, and high costs. In contrast, consumer-grade …

With the impact of artificial intelligence on the traditional unmanned aerial vehicle (UAV)
industry, autonomous UAV flight has become a popular research field at present. Based on …

At present, the daily global Total Column carbon monoxide (CO)(TCCO) product from
TROPOMI is performed at the highest spatial resolution, which has been broadly adopted in …

We present a new automatic procedure for updating digital topographic data from multi-
source satellite imagery, which consists in the production of Digital Surface Models (DSMs) …

There has been a rapid evolution of tree-based ensemble algorithms which have
outperformed deep learning in several studies, thus emerging as a competitive solution for …