In the last few decades, deep learning (DL) has afforded solutions to macroscopic problems
in petroleum engineering, but mechanistic problems at the microscale have not benefited …

The impact of air pollution on public health is substantial, and accurate long-term predictions
of air quality are crucial for early warning systems to address this issue. Air quality prediction …

Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …

Accurate air pollution forecasting may provide valuable information for urban planning to
maintain environmental sustainability and reduce mortality risk due to health problems. The …

Accurate and computationally efficient prediction of wave run-up is required to mitigate the
impacts of inundation and erosion caused by tides, storm surges, and even tsunami waves …

One of the strategies to manage and reduce the problems caused by floods is to use
different Low-Impact Development (LID) systems. Due to the existence of different types of …

The escalating population and rapid industrialization have led to a significant rise in
environmental pollution, particularly air pollution. This has detrimental effects on both the …

Air quality has always been one of the most important environmental concerns for the
general public and society. Using machine learning algorithms for Air Quality Index (AQI) …

In the quest to reconcile public perception of air pollution with scientific measurements, our
study introduced a pioneering method involving a gradient boost-regression tree model …

Rapid urbanization and industrialization have intensified air pollution, posing severe health
risks and necessitating accurate PM 2.5 predictions for effective urban air quality …