Thikra Dawood
- (2015): Clustering-Based Threshold Model for Condition Assessment of Concrete Bridge Decks with Ground-Penetrating Radar. In: Transportation Research Record: Journal of the Transportation Research Board, v. 2522, n. 1 (January 2015).
- (2022): Condition assessment of concrete-made structures using ground penetrating radar. In: Automation in Construction, v. 144 (December 2022).
- (2022): Data fusion of multiple machine intelligent systems for the condition assessment of subway structures. In: Tunnelling and Underground Space Technology, v. 126 (August 2022).
- (2021): Ensemble intelligent systems for predicting water network condition index. In: Sustainable Cities and Society, v. 73 (October 2021).
- (2020): Artificial intelligence for the modeling of water pipes deterioration mechanisms. In: Automation in Construction, v. 120 (December 2020).
- (2020): Deterioration mapping in subway infrastructure using sensory data of GPR. In: Tunnelling and Underground Space Technology, v. 103 (September 2020).
- (2020): Water Pipe Failure Prediction and Risk Models: State-of-the-Art Review. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 47, n. 10 (October 2020).
- (2018): Computer Vision–Based Model for Moisture Marks Detection and Recognition in Subway Networks. In: Journal of Computing in Civil Engineering, v. 32, n. 2 (March 2018).
- (2017): Corrosiveness mapping of bridge decks using image-based analysis of GPR data. In: Automation in Construction, v. 80 (August 2017).
- (2017): Machine vision-based model for spalling detection and quantification in subway networks. In: Automation in Construction, v. 81 (September 2017).
Structurae cooperates with
