Machine Learning (ML) techniques for time series prediction are becoming increasingly
accurate and helpful, particularly in considering climate change. As more methods are …

The most crucial issue that causes bridge failure is local scour, especially during flood
events. Therefore, modeling scouring is an essential method to examine the possibility of …

Despite the rapid growth of machine learning (ML) and its far‐reaching applications in
various fields such as healthcare, finance, and urban heat management, there are still some …

Urban pluvial flooding (UPF) resulting from localized, intense, rainfall‐generated ponding
and overland flow causes a range of socio-environmental impacts. UPF is driven by a …

Artificial learning techniques are currently used for weather and climate forecasting, etc. In
this paper, we will evaluate three algorithms for predicting meteorological parameters based …