Wildfire events have resulted in unprecedented social and economic losses worldwide in the last few years. Most studies on reducing wildfire risk to communities focused on modeling wildfire behavior in the wildland to aid in developing fuel reduction and
a, b The increase in R2 (a) and the decrease in RMSE (b) by the physics-aware deep learning method for site-based testing and regular testing. c Mean time series of observed and predicted values for all sites in the site-based testing dataset (black dots: observed values). d The box...
Protecting infrastructures from natural disasters and extreme weather events, which are especially a result of climate change, has become an important topic in international research in the last years [Birkmann et al. (2016). Journal of Extreme Events , 03: 1650017]. In order to increase ...
We also observe a convergence of ML and experimental techniques (“lab-in the-loop”) in the recent work on autonomous molecular discovery (a trend we will also see in the Materials Design in the following sections). Flow Matching has been one of the biggest generative ML ...
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the noise that frequently accompanies it. This model synergizes signal de...
over the last 20 years, and they expect the amount of land affected to only worsen in the coming decades. Not only can drought and a related lack or precipitation cause more wildfires, but global warming can increase their scope and intensity. Extreme heat further dries out forests and ...
When the concatenated representation of 𝐎con captures some special external information such as rainstorm weather, the term σ(𝐎con)⊙𝐎 will suddenly increase and become a much larger value due to the property of sigmoid function compared with 𝐎con. And ...
There has been a huge increase in the use of facial recognition technology by police and businesses in the UK despite independent studies raising concerns about human rights violations, anddiscrimination, and numerous incidences of entirely innocent people being identified as criminals or people of ...
Based on global warming, we hypothesized that with an increase in temperature, the number of days of abnormal climate events exhibits an upward trend. The experimental results showed that the number of abnormal climate event days increased by 304.5 days from 1990 to 2020, which agreed with the ...
However, the introduction of automatic loggers at the turn of the new millennium enabled an increase in frequency to daily or even more frequent recordings. Due to the higher frequency and availability of modern data, we preferred to use these for a weekly analysis to ensure more consistent ...