Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

Urban flooding is a major problem for cities around the world, with significant socio-
economic consequences. Conventional real-time flood forecasting models rely on …

Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …

Accurate water level prediction is the premise of farmland waterlogging prediction. A simple
water level prediction model (FDPRE) based on four machine learning (ML) algorithms and …

The suspended sediment load (SSL) is one of the major hydrological processes affecting the
sustainability of river planning and management. Moreover, sediments have a significant …

Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore,
water loss must be precisely measured. Evaporation is an intricate nonlinear process …

Accurate forecasting of dengue cases number is urgently needed as an early warning
system to prevent future outbreaks. However, forecasting dengue fever cases with …

ABSTRACT A reliable model to predict the changes in the water levels in a river is crucial for
better planning to mitigate any risk associated with flooding. In this study, six different …

Water quality status in terms of one crucial parameter such as dissolved oxygen (DO) has
been an important concern in the Fei-Tsui reservoir for decades since it's the primary water …