Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

With the booming development of information technology and the growing demand for
remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has …

Context modeling is critical for remote sensing image dense prediction tasks. Nowadays, the
growing size of very-high-resolution (VHR) remote sensing images poses challenges in …

The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly
increased across a variety of applications over the past few years. This is due to the rapid …

This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …

Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

Recently, the Mamba architecture based on state space models has demonstrated
remarkable performance in a series of natural language processing tasks and has been …

The application of semiconductor metal oxides in chemiresistive methane gas sensors has
seen significant progress in recent years, driven by their promising sensitivity …

Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits
associated with fast, automatic, and contactless spatial data collection with high resolution …

Solid waste landfills are responsible for much of the anthropogenic methane emitted from
the waste sector. The quantification of fugitive CH 4 emissions from a landfill is to date …