The need for sustainable water infrastructure systems continues to grow as clean water is
essential for daily life. Despite efforts to sustain water distribution networks (WDNs), they …

We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …

The recent advances of e-commerce and e-payment systems have sparked an increase in
financial fraud cases such as credit card fraud. It is therefore crucial to implement …

A healthy sewage pipe system plays a significant role in urban water management by
collecting and transporting wastewater and stormwater, which can be assessed by hydraulic …

There is an astounding growth in the adoption of machine learners (MLs) to craft intrusion
detection systems (IDSs). These IDSs model the behavior of a target system during a …

Underground water pipes deteriorate under the influence of various physical, mechanical,
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …

Failure risk analysis of pipeline networks is essential for their effective management. Since
pipeline networks are often large and complex, analyzing a large number of pipelines is …

Predicting the time-dependent pipe failure rate of the water distribution networks (WDNs) is
important for planning its renewal budget but also challenging due to the complex factors …

The unexpected failure of pipes is a problem that is hitting the water networks of many cities
around the world. Nowadays, many proposals based on the use of machine learning …

With the extensive applicability of machine learning classification algorithms to a wide
spectrum of domains, feature selection (FS) becomes a relevant data preprocessing …