Accurate predictions of significant wave heights are important for a number of maritime
applications, such as design of coastal and offshore structures. In the present study, an …

This paper provides a comprehensive review of tree-based models and their application in
condition assessment and prediction of water, wastewater, and sewer pipe failures. Tree …

Leakages in water distribution networks (WDNs) cause economic losses and environmental
hazards. It is, therefore, unsurprising that water-leak management has been a focus of …

Water scarcity is a global concern; 68 countries are facing extremely-high to medium-high
risk of water stress. In this era of crisis, where water conservation is an absolute necessity …

The application of statistical and Machine Learning models plays a critical role in planning
and decision support processes for efficient and reliable Water Distribution Network (WDN) …

Data-driven predictive maintenance for the prediction of machine failure has been widely
studied and performed to test machine failures. Predictive maintenance refers to the …

Infrastructures are interdependent systems and their interdependency can influence their
resilience to routine failures and extreme events. Even though infrastructure resilience has …

Suspended sediment load is a substantial portion of the total sediment load in rivers and
plays a vital role in determination of the service life of the downstream dam. To this end …

Owing to the nonlinear and non-stationary nature of the suspended sediment transport in
rivers, suspended sediment concentration (SSC) modeling is a challenging task in …

There is an increasing demand to enhance infrastructure asset management within the
drinking water sector. A key factor for achieving this is improving the accuracy of pipe failure …