Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …

Atmospheric low-visibility events are usually associated with fog formation. Extreme low-
visibility events deeply affect the air and ground transportation, airports and motor-road …

Atmospheric Extreme Events (EEs) cause severe damages to human societies and
ecosystems. The frequency and intensity of EEs and other associated events are increasing …

Fog is the main weather phenomenon that causes low visibility, which makes traffic and
outdoor work extremely dangerous. In this paper, we propose a novel LSTM framework for …

In this paper we propose and discuss different Deep Learning-based ensemble algorithms
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …

Visibility is an important indicator of air quality and of any consequent meteorological and
climate change. Therefore, visibility in Seoul, which is the most polluted city in South Korea …

The ubiquitous availability of big data and computational resources has accelerated the
development and adoption of artificial intelligence methods in many application domains …

Accurate measurement of surface visibility is vital for transportation. Satellite remote sensing
technology offers the advantage of monitoring vast areas over extended time periods …

Accurate visibility prediction is imperative in the interests of human and environmental
health. However, the existing numerical models for visibility prediction are characterized by …

The prediction of low-visibility events is very important in many human activities, and crucial
in transportation facilities such as airports, where they can cause severe impact in flight …