Starting from the importance of innovative solutions for improving the needs of different
practitioners as flood risk managers, the purpose of this review was to describe and analyze …

Abstract Machine learning-based models using Artificial Neural Network (ANN) and greedy
search algorithm are used to optimize air-cooled parallel plate-finned heat sinks (PPFHSs) …

The precise assessment of flood damage and structural resiliency is of the utmost
importance for coastal communities, mitigating risk from repeated extreme storm events …

Floods are a natural disaster of significant concern because of their considerable damages
to people's livelihood. To this extent, there is a critical need to enhance flood management …

Flooding is one of the most frequent hazard events significantly affecting the industry in
Turkey, leading to severe economic losses and business disruptions. To predict the direct …

Cascading failures are one of the most severe threats to cyber-physical power systems. Most
studies explore the cascading failure problem from the attacker's perspective while …

We compare stochastic programming and robust optimization decision models for informing
the deployment of ad hoc flood mitigation measures to protect electrical substations prior to …

Dikes are an effective flood risk reduction measure in deltaic areas. Present risk analyses
consist often of decoupled calculations of probabilities of dike failure and calculation of …

A system of dikes in flood-prone areas continuously requires measures to mitigate changes
such as ageing and climate change. Planning costly measures requires proper insight into …

The condition of flood defence revetments is influenced by many different degradation
processes such as animal burrowing, rutting and growth of weeds. Many of these processes …