A time-series based deep survival analysis model for failure prediction in urban infrastructure systems
Authors:
- Binyu YangBYBinyu Yang
- Xuanwen LiangXLXuanwen Liang
- Susu XuSXSusu Xu
- Man Sing WongMWMan Sing Wong
- Wei MaWMWei Ma
- 2 July 2024
- journal article
- research article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 136
Abstract
No abstract availableKeywords
This publication has 72 references indexed in Scilit:
- Advancing proactive crash prediction: A discretized duration approach for predicting crashes and severityAccident Analysis & Prevention, 2023
- An integrated FMEA framework considering expert reliability for classification and its application in aircraft power supply systemEngineering Applications of Artificial Intelligence, 2023
- B-SMART: A reference architecture for artificially intelligent autonomic smart buildingsEngineering Applications of Artificial Intelligence, 2023
- Predicting individuals' car accident risk by trajectory, driving events, and geographical contextComputers, Environment and Urban Systems, 2022
- Temporal pattern attention for multivariate time series forecastingMachine Learning, 2019
- Time series aggregation for energy system design: Modeling seasonal storageApplied Energy, 2018
- Vibration Prediction of Bladed Disks Coupled by Friction JointsArchives of Computational Methods in Engineering, 2016
- A time‐dependent discrimination index for survival dataStatistics in Medicine, 2005
- Assessment and comparison of prognostic classification schemes for survival dataStatistics in Medicine, 1999
- A neural network model for survival dataStatistics in Medicine, 1995