Water contamination undermines human survival and economic growth. Water resource
protection and management require knowledge of water hydrochemistry and drinking water …

Short‐term forecasting of water demand is a crucial process for managing efficiently water
supply systems. This paper proposes to develop a novel graph convolutional recurrent …

Demand forecast for spare parts in supply chains is essential for ensuring customer
satisfaction while minimizing appropriate inventory. The after-market orders mainly depend …

This study presents a new stacking ensemble model for contamination event detection using
multiple water quality parameters. The stacking model consists of a number of machine …

Short-term water demand forecast is one of the most important technology for urban water
supply management. The accuracy and timeliness of the forecast have an important impact …

Dubai is an emerging metropolis with unique features, such as an extremely high expatriate
ratio and turnover rate. These features, along with the extreme climatic conditions and …

Understanding, comparing, and accurately predicting water demand at different spatial
scales is an important goal that will allow effective targeting of the appropriate operational …

Sustainable management of water resources is a key challenge nowadays and in the future.
Water distribution systems have to ensure fresh water for all users in an increasing demand …

A reliable short-term forecasting model is fundamental to managing a water distribution
system properly. This study addresses the problem of the efficient development of a deep …

Cross-drainage hydraulic structures such as culverts and bridges in urban landscapes are
prone to get blocked by the transported debris (eg, urban, vegetated), which often reduces …