Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …

Forest fires are one of the major environmental concerns, each year millions of hectares are
destroyed over the world, causing economic and ecological damage as well as human lives …

Predicting wildfire spread is critical for land management and disaster preparedness. To this
end, we present “Next Day Wildfire Spread,” a curated, large-scale, multivariate dataset of …

Wildfires have been systematically studied from the early 1950s, with significant progress in
the applied computational methodologies during the 21st century. However, modern …

Wildfires are a major natural hazard that lead to deforestation, carbon emissions, and loss of
human and animal lives every year. Effective predictions of wildfire occurrence and burned …

Forest fires threaten the population's health, biomass, and biodiversity, intensifying the
desertification processes and causing temporary damage to conservation areas. Remote …

Recent studies have suggested that due to climate change, the number of wildfires across
the globe have been increasing and continue to grow even more. The recent massive …

Over the years, rampant wildfires have plagued the state of California, creating economic
and environmental loss. In 2018, wildfires cost nearly 800 million dollars in economic loss …

In the bid process, predicting whether the contractor will suffer a financial crisis during the
construction project is vital to project owners and other stakeholders for identifying problems …