Transportation safety is highly correlated with driving behavior, especially human error
playing a key role in a large portion of crashes. Modern instrumentation and computational …

Our planet Earth comprises distinguished topologies based on temperature, location,
latitude, longitude, and altitude, which can be captured using Remote Sensing Satellites. In …

The concept of Local climate zone (LCZ) is used to generate LCZ maps worldwide as a part
of World Urban Database and Access Portal Tools (WUDAPT) project utilizing Landsat …

The wide application of intelligent compaction in subgrade construction is limited by the
evaluation accuracy. The current practice assumes the compacted site as a homogeneous …

Forest and land fires are disasters that greatly impact various sectors. Burned area
identification is needed to control forest and land fires. Remote sensing is used as common …

Hyperspectral image (HSI) classification is one of the most active research topics and has
achieved promising results boosted by the recent development of deep learning. However …

Urban flooding is a devastating natural hazard for cities around the world. Flood risk
map** is a key tool in flood management. However, it is computationally expensive to …

Land cover classification of satellite imagery is an important step toward analyzing the
Earth's surface. Existing models assume a closed-set setting where both the training and …

With the development of the Internet, the types and quantities of malware have grown
rapidly, and how to identify unknown malware is becoming a new challenge. The traditional …

Based on studies using high-medium resolution images, convolutional neural networks
(CNNs) and semantic segmentation have shown superiority over classical machine learning …