Alvin Wei Ze Chew
- (2022): Building damage detection from satellite images after natural disasters on extremely imbalanced datasets. In: Automation in Construction, v. 140 (August 2022).
- (2022): An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds. In: Automation in Construction, v. 137 (May 2022).
- (2022): Data-Driven Multiscale Modelling and Analysis of COVID-19 Spatiotemporal Evolution Using Explainable AI. In: Sustainable Cities and Society, v. 80 (May 2022).
- (2022): Large-scale 3D point-cloud semantic segmentation of urban and rural scenes using data volume decomposition coupled with pipeline parallelism. In: Automation in Construction, v. 133 (January 2022).
- (2021): Correlating dynamic climate conditions and socioeconomic-governmental factors to spatiotemporal spread of COVID-19 via semantic segmentation deep learning analysis. In: Sustainable Cities and Society, v. 75 (December 2021).
- (2020): Optimizing Speedup Performance of Computational Hydrodynamic Simulations with UPC Programming Model. In: Journal of Computing in Civil Engineering, v. 34, n. 2 (March 2020).
- (2019): Computational Flood Modeling with UPC Architecture. In: Journal of Computing in Civil Engineering, v. 33, n. 2 (March 2019).
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