1. Deep learning in the construction industry: A review of present status and future innovations;Akinosho;J. Build. Eng.,2020
2. Managing active cultural differences in U.S. construction workplaces: Perspectives from non-Hispanic workers;Al-Bayati;J. Saf. Res.,2018
3. Cai, Zhongang, Yin, Wanqi, Zeng, Ailing, Wei, Chen, Sun, Qingping, Wang, Yanjun, Pang, Hui En, Mei, Haiyi, Zhang, Mingyuan, Zhang, Lei, Loy, Chen Change, Yang, Lei, Liu, Ziwei, 2023. SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation. In: 2023 Conference on Neural Information Processing Systems.
4. Two-step long short-term memory method for identifying construction activities through positional and attentional cues;Cai;Autom. Constr.,2019
5. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation;Charles,2017