This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …

In recent decades, demand for freshwater resources has increased the risk of severe water
stress. With the growing prevalence of artificial intelligence (AI), many researchers have …

The use of hybrid renewable energy systems among household consumers in sub-Sahara
Africa (SSA) is increasingly gaining attention. This is due to low electrification rates in many …

Urban water demand forecasting is crucial to reduce the waste of water resources and
environmental protection. However, the non-stationarity and non-linearity of the water …

The rise of Internet of Things (IoT), coupled with the advances in Artificial Intelligence
technologies and cloud-based applications, have caused fundamental changes in the way …

Recently, a stochastic data-driven framework was introduced for forecasting uncertain
multiscale hydrological and water resources processes (eg, streamflow, urban water …

The reliability of the power supply depends on the reliability of the structure of the grid. Grid
networks are exposed to varying weather events, which makes them prone to faults. There is …

Proper performance of water distribution networks (WDNs) plays a vital role in customer
satisfaction. The aim of this study is to conduct a sensitivity analysis to evaluate the behavior …

Accurate forecasting of hourly water demand is essential for effective and sustainable
operation, and the cost-effective management of water distribution networks. Unlike monthly …

Water scarcity has urged the need for adequate water demand forecasting to facilitate
efficient planning of municipal infrastructure. However, the development of water …