Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challenge
W Zhang, X Gu, L Tang, Y Yin, D Liu, Y Zhang - Gondwana Research, 2022 - Elsevier
Abstract The so-called Fourth Paradigm has witnessed a boom during the past two decades,
with large volumes of observational data becoming available to scientists and engineers …
with large volumes of observational data becoming available to scientists and engineers …
Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes
R Taiwo, MEA Ben Seghier… - Water Resources …, 2023 - Wiley Online Library
Failures of water distribution networks (WDNs) are rising at an exponential rate,
necessitating immediate attention. An effective way to reduce the failure rate is to develop …
necessitating immediate attention. An effective way to reduce the failure rate is to develop …
Improving urban water security through pipe-break prediction models: Machine learning or survival analysis
North America's water distribution systems are aging and incurring increased pipe breaks.
These breaks pose a serious threat to urban drinking water security, leading to service …
These breaks pose a serious threat to urban drinking water security, leading to service …
[HTML][HTML] Machine learning for science and society
C Rudin, KL Wagstaff - Machine Learning, 2014 - Springer
The special issue on “Machine Learning for Science and Society” showcases machine
learning work with influence on our current and future society. These papers address …
learning work with influence on our current and future society. These papers address …
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 …
State-of-the-art review of water pipe failure prediction models and applicability to large-diameter mains
This paper provides an overview of the work performed in the last 13 years to predict the
failure of large-diameter trunk water mains. Large-diameter water mains, defined as water …
failure of large-diameter trunk water mains. Large-diameter water mains, defined as water …
Systematic and scientometric analyses of predictors for modelling water pipes deterioration
The deterioration of water pipes causes significant socio-economic and environmental
burdens. Many predictors/factors are used to mitigate such problems by modelling the water …
burdens. Many predictors/factors are used to mitigate such problems by modelling the water …
Intelligent approaches for predicting failure of water mains
Water mains are indispensable infrastructures in many countries around the world. Several
factors may be responsible for the failure of these essential pipelines that negatively impact …
factors may be responsible for the failure of these essential pipelines that negatively impact …
Combining machine learning and survival statistics to predict remaining service life of watermains
Abstract Distribution systems throughout North America are deteriorating and pipe breaks
are increasing. To deal with these infrastructure crises, utilities have begun to adopt …
are increasing. To deal with these infrastructure crises, utilities have begun to adopt …
Effects of uncertainty and cognitive load on user trust in predictive decision making
Rapid increase of data in different fields has been resulting in wide applications of Machine
Learning (ML) based intelligent systems in predictive decision making scenarios …
Learning (ML) based intelligent systems in predictive decision making scenarios …