Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks
出版年份 2023 全文链接
标题
Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks
作者
关键词
-
出版物
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume -, Issue -, Pages 109088
出版商
Elsevier BV
发表日期
2023-01-12
DOI
10.1016/j.ress.2023.109088
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Inspection schedule for prognostics with uncertainty management
- (2022) Seokgoo Kim et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
- (2021) Eyke Hüllermeier et al. MACHINE LEARNING
- Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure
- (2021) Leandro Iannacone et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A review of uncertainty quantification in deep learning: Techniques, applications and challenges
- (2021) Moloud Abdar et al. Information Fusion
- A hierarchical Bayesian approach for assessing infrastructure networks serviceability under uncertainty: A case study of water distribution systems
- (2021) Jin-Zhu Yu et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A comprehensive framework to efficiently plan short and long-term investments in water supply and sewer networks
- (2021) Cristóbal Ramos-Salgado et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Artificial intelligence for the modeling of water pipes deterioration mechanisms
- (2020) Thikra Dawood et al. AUTOMATION IN CONSTRUCTION
- A comparative study of patient and staff safety evaluation using tree-based machine learning algorithms
- (2020) Mecit Can Emre Simsekler et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Integration of Physical Infrastructure and Social Systems in Communities’ Reliability and Resilience Analysis
- (2019) Roberto Guidotti et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Neural networks and deep learning: a brief introduction
- (2019) Adrian Iustin Georgevici et al. INTENSIVE CARE MEDICINE
- Reliability modelling and analysis of water distribution network based on backpropagation recursive processes with real field data
- (2019) D. Vališ et al. MEASUREMENT
- Failure Analysis of the Water Supply Network in the Aspect of Climate Changes on the Example of the Central and Eastern Europe Region
- (2019) Jakub Żywiec et al. Sustainability
- Prediction of pipe failures in water supply networks using logistic regression and support vector classification
- (2019) Alicia Robles-Velasco et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Pipe failure modelling for water distribution networks using boosted decision trees
- (2018) Daniel Winkler et al. Structure and Infrastructure Engineering
- Effects of weather conditions on drinking water distribution pipe failures in the Netherlands
- (2018) B. A. Wols et al. Water Science and Technology-Water Supply
- Neural network approach for failure rate prediction
- (2015) Małgorzata Kutyłowska ENGINEERING FAILURE ANALYSIS
- Statistical failure models for water distribution pipes – A review from a unified perspective
- (2015) Andreas Scheidegger et al. WATER RESEARCH
- Study on relationships between climate-related covariates and pipe bursts using evolutionary-based modelling
- (2014) Daniele Laucelli et al. JOURNAL OF HYDROINFORMATICS
- Predicting the Timing of Water Main Failure Using Artificial Neural Networks
- (2013) Richard Harvey et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
- (2012) Carsten F. Dormann et al. ECOGRAPHY
- Prioritizing Water Main Renewals: Case Study of the Denver Water System
- (2011) Peter D. Rogers Journal of Pipeline Systems Engineering and Practice
- Comparison of Statistical Deterioration Models for Water Distribution Networks
- (2010) Hesham Osman et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Prediction Models for Annual Break Rates of Water Mains
- (2009) Yong Wang et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modeling
- (2008) M. Tabesh et al. JOURNAL OF HYDROINFORMATICS
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