Organizations in various industries have widely developed the artificial intelligence (AI)
maturity model as a systematic approach. This study aims to review state-of-the-art studies …

Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …

This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning
(EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two scenarios were …

The availability of water is crucial for the growth and sustainability of human development.
The effective management of water resources is essential due to their renewable nature and …

Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification,
groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and …

Historically, wetlands have not been given much attention in terms of their value due to the
general public being unaware. Nevertheless, wetlands are still threatened by many …

Estimating groundwater quality parameters through conventional methods is time-
consuming through laboratory measurements for megacities. There is a need to develop …

Water resources management in Malaysia has become a crucial issue of concern due to its
role in the economic and social development of the country. Kelantan river (Sungai …

Here, an endeavor has been made to predict the correspondence between rainfall and
runoff and modeling are demonstrated using Feed Forward Back Propagation Neural …

The development of sustainable chemometric methodologies is crucial in pharmaceutical
analysis to ensure accurate chemical quantification with little environmental effect. This …