Rageh, Ahmed, Eftekhar Azam, Saeed, and Linzell, Daniel G. Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty. Retrieved from https://par.nsf.gov/biblio/10278171. International Journal of Fatigue 134.C Web. doi:10.1016/j.ijfatigue.2019.105458.

Rageh, Ahmed, Eftekhar Azam, Saeed, & Linzell, Daniel G. Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty. International Journal of Fatigue, 134 (C). Retrieved from https://par.nsf.gov/biblio/10278171. https://doi.org/10.1016/j.ijfatigue.2019.105458

Rageh, Ahmed, Eftekhar Azam, Saeed, and Linzell, Daniel G. "Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty". International Journal of Fatigue 134 (C). Country unknown/Code not available. https://doi.org/10.1016/j.ijfatigue.2019.105458. https://par.nsf.gov/biblio/10278171.

@article{osti_10278171,
place = {Country unknown/Code not available}, title = {Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty}, url = {https://par.nsf.gov/biblio/10278171}, DOI = {10.1016/j.ijfatigue.2019.105458}, abstractNote = {}, journal = {International Journal of Fatigue}, volume = {134}, number = {C}, author = {Rageh, Ahmed and Eftekhar Azam, Saeed and Linzell, Daniel G.}, editor = {null} }