Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference75 articles.
1. Synthetic rating system for railway bridge management;Aflatooni;The Journal of Civil Structural Health Monitoring (JCSHM),2013
2. Akti, S. & Celikoglu, H. B. (2019). An integrated decision making framework for vehicle selection in shuttle services: case of a university campus. 6th International conference on models and technologies for intelligent transportation systems (MT-ITS), Crakow, Poland. https://doi.org/10.1109/MTITS.2019.8883389.
3. A random field based technique for the efficiency enhancement of bridge network life-cycle analysis under uncertainty;Bocchini;Engineering Structures,2011
4. Bu, G., Lee, J., Guan, H., Blumenstein, M. & Loo, Y. -C. (2011). Improving reliability of Markov-based bridge deterioration model using artificial neural network. Griffith University IABSE-IASS 2011 Symposium – Taller, Longer, Lighter.
5. Development of hybrid optimisation method for Artificial Intelligence based bridge deterioration model — Feasibility study;Callow;Automation in Construction,2013
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