Deploying artificial intelligence for climate change adaptation
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …
change. This paper explores the connections between AI and climate change research as a …
An evolution of statistical pipe failure models for drinking water networks: A targeted review
The use of statistical models to predict pipe failures has become an important tool for
proactive management of drinking water networks. This targeted review provides an …
proactive management of drinking water networks. This targeted review provides an …
[HTML][HTML] SurvSHAP (t): time-dependent explanations of machine learning survival models
Abstract Machine and deep learning survival models demonstrate similar or even improved
time-to-event prediction capabilities compared to classical statistical learning methods yet …
time-to-event prediction capabilities compared to classical statistical learning methods yet …
Asset management analytics for urban water mains: a literature review
This study presents a review of the state-of-the-art literature on water pipe failure predictions,
assessment of water losses risk, optimal pipe maintenance plans, and maintenance …
assessment of water losses risk, optimal pipe maintenance plans, and maintenance …
Evaluating various machine learning algorithms for automated inspection of culverts
One of the most important hydraulic structures that has been overlooked is culverts. Regular
maintenance and inspections are required to ensure that these structures are used …
maintenance and inspections are required to ensure that these structures are used …
Toward urban sustainability and clean potable water: Prediction of water quality via artificial neural networks
Water quality failure is a long-standing problem worldwide, causing illness, poisoning,
disease outbreak, and claiming human lives in the urban communities. Potable water can be …
disease outbreak, and claiming human lives in the urban communities. Potable water can be …
Prediction of pipe failures in water supply networks for longer time periods through multi-label classification
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 …
around the world. Nowadays, many proposals based on the use of machine learning …
Failure modeling of water distribution pipelines using meta-learning algorithms
Population growth and urbanization worldwide entail the need for continuous renewal plans
for urban water distribution networks. Hence, understanding the long-term performance and …
for urban water distribution networks. Hence, understanding the long-term performance and …
Improving failure modeling for gas transmission pipelines: A survival analysis and machine learning integrated approach
This study proposes a methodology to model gas transmission pipeline failures using
historical pipeline failure data. Censoring occurs frequently in the dataset, and overlooking it …
historical pipeline failure data. Censoring occurs frequently in the dataset, and overlooking it …
The use of decision tree based predictive models for improving the culvert inspection process
Culverts are important components of a roadway and should be properly maintained to
ensure adequate road surface drainage and public safety. Culvert maintenance greatly …
ensure adequate road surface drainage and public safety. Culvert maintenance greatly …