Cascade ensemble learning for multi-level reliability evaluation

LK Song, XQ Li, SP Zhu, YS Choy - Aerospace Science and Technology, 2024 - Elsevier
For complex systems involving multiple operating conditions and multiple failure modes, its
reliability analysis usually presents the cascade failure correlation between multiple levels …

Models and explanatory variables in modelling failure for drinking water pipes to support asset management: a mixed literature review

E Forero-Ortiz, E Martinez-Gomariz… - Applied Water …, 2023 - Springer
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 …

Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective

G Fu, S Sun, L Hoang, Z Yuan, D Butler - Cambridge Prisms: Water, 2023 - cambridge.org
The potential of artificial intelligence (AI) in water management is widely recognised by
research and practice communities alike, with an increasing number of applications showed …

Enhancing the explanation of household water consumption through the water-energy nexus concept

Z Li, C Wang, Y Liu, J Wang - npj Clean Water, 2024 - nature.com
Estimating household water consumption can facilitate infrastructure management and
municipal planning. The relatively low explanatory power of household water consumption …

A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong

E Mohammed Abdelkader, T Zayed… - International Journal …, 2025 - Taylor & Francis
The water distribution network is one of the most pivotal services for communities, and that's
why its effective and secure operation is crucial to the growth of national and global …

An ensemble learning model for forecasting water-pipe leakage

AAM Warad, K Wassif, NR Darwish - Scientific Reports, 2024 - nature.com
Based on the benefits of different ensemble methods, such as bagging and boosting, which
have been studied and adopted extensively in research and practice, where bagging and …

Evaluation of Pipe Materials in Water System Networks Using the Theory of Advanced Multi-Criteria Analysis

O Abdulah Shrrat Omar - Sustainability, 2023 - mdpi.com
This study used a multi-criteria analysis to find the optimal material for water pipes in water
systems. This paper used FRISCO for calculating the criteria weights and ranking the …

Density Functional Theory and Machine Learning of Transition Metals in Mo2C for Gas Sensors

W Huang, Z Dong, L Lin - ACS Applied Nano Materials, 2024 - ACS Publications
Gas accumulation is the primary cause of explosions in underground mines, and preventing
it requires effective gas detection. To address this, we propose an approach combining …

A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of saltwater pipes in Hong Kong

N Elshaboury, T Zayed… - Engineering …, 2024 - emerald.com
Purpose Water pipes degrade over time for a variety of pipe-related, soil-related,
operational, and environmental factors. Hence, municipalities are necessitated to implement …

Efficacy of Tree-Based Models for Pipe Failure Prediction and Condition Assessment: A Comprehensive Review

M Latifi, R Beig Zali, AA Javadi… - Journal of Water …, 2024 - ascelibrary.org
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 …