The increasing frequency and intensity of wildfires highlight the need to develop more
efficient tools for firefighting and management, particularly in the field of wildfire spread …

Wildfire intensity and severity have been increasing in the Iberian Peninsula in recent years,
particularly in the Galicia region, due to rising temperatures and accumulating drier …

Time series are essential for modeling a lot of activities such as software behavior, heart
rate, and business processes. The analysis of the series data can prevent errors, boost …

The spatial and temporal variations of net surface radiation (Rn) are critical for
comprehending ecological environments. Nonetheless, the intricate interplay among Rn …

The lack of wall-to-wall biotic inventories poses a significant challenge for conservation
biology. Therefore, a primary goal in conserving the unknown (species and their distribution) …

The growing need to address natural and human-induced disasters while protecting territory
remains a key focus for the scientific community. Effective emergency management …

Deep Learning algorithms are considered “black-box” algorithms because it is not possible
to analyse how they find the final result. This greatly limits their application in several …

The occurrence of wildfire disasters can easily trigger trip** in overhead transmission‐
line, thereby posing a significant threat to the safe and stable operation of the power system …

Climate change is one of the most acute global problems, the consequences of which are
becoming more and more noticeable every year and are the subject of scientific debate, as …

Online time series play a crucial role in the analysis and management of massive amounts
of data. These series capture data points chronologically according to their acquisition time …