Predicting mine water inrush accidents based on water level anomalies of borehole groups using long short-term memory and isolation forest

H Yin, Q Wu, S Yin, S Dong, Z Dai, MR Soltanian - Journal of hydrology, 2023 - Elsevier
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 …

Rainfall-driven machine learning models for accurate flood inundation mapping in Karachi, Pakistan

U Rasool, X Yin, Z Xu, R Padulano, MA Rasool… - Urban Climate, 2023 - Elsevier
Urban pluvial flooding (UPF) has emerged as a serious natural hazard, especially in recent
years. Previous research on UPF prediction has mainly focused on hydrological models …

Influence of lunar phases and meteorological factors on rainfall in Karachi City, Pakistan

U Rasool, X Yin, Z Xu, MA Rasool, M Hussain… - Journal of …, 2024 - Elsevier
Climate change is responsible for unpredictable weather patterns in Southeast Asia,
especially in Pakistan. To better understand the influence of lunar phases and …

Evaluating the relationship between groundwater quality and land use in an urbanized watershed

U Rasool, X Yin, Z Xu, M Faheem, MA Rasool… - … Science and Pollution …, 2023 - Springer
Understanding the impact of urbanization on groundwater quality is critical. Effective water
management requires understanding the relationship between land use and water quality …

[PDF][PDF] Short term load forecasting using evolutionary algorithm for Tajikistan

BM Hussein, HG Abood, M Firuz… - International Journal of …, 2023 - academia.edu
Load forecasting is a significant element in the energy management system of power
systems. Precise load forecasting aids electric utilities to conduct decisions of unit …