Simple Summary At a small-area scale, the detrimental effect of air pollution on lung cancer
is challenging to identify and measure due to the potentially scattered detection of pollutants …

Natural catastrophes such as floods, earthquakes, and hurricanes often result in widespread
destruction, making post-disaster building damage assessment a challenging task. The xBD …

Weather radar and satellite precipitation observations are commonly used to analyze the
environment or to incorporate precipitation information into various kinds of predictive and …

This paper proposes a YOLO-based detector designed to identify warning signals preceding
hazardous conditions on high-voltage transmission lines, especially those that degrade and …

The energy effectiveness of the executed algorithms is one of the most critical design
requirements placed on the wireless sensor networks as the operation of this technology is …

The presented paper describes the possibilities of monitoring overhead power lines using a
modular system. The modular system brings several advantages. It enables continuous real …

Pollution modeling is a non-trivial task with a strong stochastic character; Previous
experiments using satellite and air pollution data have been extended in this paper with rain …

In this paper we evaluate ten selected precipitation products from three different providers
against ground-based rain gauges via two types of quality metrics (correlations and errors) …