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