Geohazard prevention and mitigation are highly complex and remain challenges for
researchers and practitioners. Artificial intelligence (AI) has become an effective tool for …

Water level variation of explorational boreholes in mining sites is one of the most direct
representations of water inrush risk. Despite recent efforts on mine water inrush accident …

Abstract Globally, the deteriorating Urban Heat Island (UHI) effect poses a significant threat
to human health and undermines ecosystem stability. UHI mitigation strategies have been …

In this research, to predict landslide susceptibility mapping (LSM), we have studied and
optimized an artificial neural network (ANN) by utilizing the backtracking search algorithm …

Abstract Machine learning (ML)-based landslide susceptibility mapping (LSM) has achieved
substantial success in landslide risk management applications. However, the complexity of …

Landslides, the second largest geological hazard after earthquakes, result in significant loss
of life and property. Extracting landslide information quickly and accurately is the basis of …

Being a fast-growing city with a high rate of urbanization and agricultural development, the
city of Najran, situated in the southwest of the Kingdom of Saudi Arabia, has witnessed a …

Land subsidence is a major concern in vastly growing metropolitans worldwide. The most
serious risks in this scenario are linked to groundwater extraction and urban development …

Groundwater dynamics caused by extraction and recharge are one of the primary causes of
subsidence in the urban environment. Lahore is the second largest metropolitan city in …

Utilization of machine learning framework to design aluminum alloy with high fracture
toughness is increasing. Nonetheless, before such model can be applied, the …