In accordance with the rapid proliferation of machine learning (ML) and data management,
ML applications have evolved to encompass all engineering disciplines. Owing to the …

This study aims to evaluate existing approaches for monitoring and assessing water quality
in waterbodies in the North of Ireland using newly developed methodologies. The results …

Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …

Precise long-term streamflow prediction has always been important in the hydrology field,
and has provided essential information for efficient water-resource management and …

Water quality variables, including chlorophyll-a (Chl-a), play a pivotal role in comprehending
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …

Recently, machine learning (ML) and deep learning (DL) models based on artificial
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …

Water resources are constantly threatened by pollution of potentially toxic elements (PTEs).
In efforts to monitor and mitigate PTEs pollution in water resources, machine learning (ML) …

Landslides pose significant threats to mountainous regions, causing widespread damage to
both property and human lives. This study seeks to enhance landslide prediction in the …

Bentonite and bentonite mixtures are used as buffer material for deep geological radioactive
waste repositories. The proper determination of bentonite maximum swelling pressure is …

Marine environmental pollution is one of the growing concerns of humans all over the world.
Therefore, managing these marine pollutants has been a crucial matter for scientists in …