Showing results 12 to 31 of 72
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| Issue Date | Title | Author(s) |
| | 2021 | Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty | Zhang, Limao; Wang, Ying; Wu, Xianguo |
| | 2020 | Clustering of designers based on building information modeling event logs | Pan, Yue; Zhang, Limao; Skibniewski, Miroslaw J. |
| | 2020 | Collaborative relationship discovery in BIM project delivery: a social network analysis approach | Wang, Yongqi; Thangasamy, Vimal Kumar; Hou, Zhaoqi; Tiong, Robert Lee Kong; Zhang, Limao |
| | 2021 | Concession period optimisation in complex projects under uncertainty: a public-private partnership perspective | Guo, Kai; Zhang, Limao; Wang, Tao |
| | 2021 | Correlating dynamic climate conditions and socioeconomic-governmental factors to spatiotemporal spread of COVID-19 via semantic segmentation deep learning analysis | Chew, Alvin Wei Ze; Wang, Ying; Zhang, Limao |
| | 2021 | Correlation-oriented complex system structural risk assessment using Copula and belief rule base | Chang, Leilei; Zhang, Limao; Xu, Xiaojian |
| | 2020 | Cross-scale generative adversarial network for crowd density estimation from images | Zhang, Gaowei; Pan, Yue; Zhang, Limao; Tiong, Robert Lee Kong |
| | 2020 | Data-driven estimation of building energy consumption with multi-source heterogeneous data | Pan, Yue; Zhang, Limao |
| | 2022 | Data-driven optimization for mitigating tunnel-induced damages | Guo, Kai; Zhang, Limao |
| | 2021 | Data-driven quantification of public–private partnership experience levels under uncertainty with Bayesian hierarchical model | Wang, Yongqi; Xiao, Zengqi; Tiong, Robert Lee Kong; Zhang, Limao |
| | 2021 | Data-driven time series prediction based on multiplicative neuron model artificial neuron network | Pan, Wenping; Zhang, Limao; Shen, Chunlin |
| | 2022 | Deep learning for detecting building façade elements from images considering prior knowledge | Zhang, Gaowei; Pan, Yue; Zhang, Limao |
| | 2021 | Discovering optimal strategies for mitigating COVID-19 spread using machine learning: experience from Asia | Pan, Yue; Zhang, Limao; Yan, Zhenzhen; Lwin, May Oo; Skibniewski, Miroslaw J. |
| | 2022 | Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States | Pan, Yue; Zhang, Limao; Unwin, Juliette; Skibniewski, Miroslaw J. |
| | 2019 | Discovering worst fire scenarios in subway stations : a simulation approach | Zhang, Limao; Wu, Xianguo; Liu, Menjie; Liu, Wenli; Ashuri, Baabak |
| | 2022 | Dual attention deep learning network for automatic steel surface defect segmentation | Pan, Yue; Zhang, Limao |
| | 2022 | Effect of non-Gaussian turbulence on extreme buffeting response of a high-speed railway sea-crossing bridge | Xu, Zhiwei; Dai, Gonglian; Zhang, Limao; Chen, Y. Frank; Flay, Richard G. J.; Rao, Huiming |
| | 2020 | Energy performance optimisation of building envelope retrofit through integrated orthogonal arrays with data envelopment analysis | Li, Hong Xian; Li, Yan; Jiang, Boya; Zhang, Limao; Wu, Xianguo; Lin, Jingyi |
 | 2021 | Enhancing building energy efficiency using a random forest model: a hybrid prediction approach | Liu, Yang; Chen, Hongyu; Zhang, Limao; Feng, Zongbao |
| | 2021 | Estimating long-term impacts of tunnel infrastructure development on urban sustainability using granular computing | Zhang, Limao; Zhang, Yan; Li, Hong Xian; Lei, Zhen |
