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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Feng, De-Cheng / Wang, Wen-Jie / Mangalathu, Sujith / Sun, Zhen (2023): Condition Assessment of Highway Bridges Using Textual Data and Natural Language Processing- (NLP-) Based Machine Learning Models. In: Structural Control and Health Monitoring, v. 2023 (February 2023).

    https://doi.org/10.1155/2023/9761154

  2. Sun, Zhen / Feng, De-Cheng / Mangalathu, Sujith / Wang, Wen-Jie / Su, Di (2022): Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques. In: Journal of Performance of Constructed Facilities (ASCE), v. 36, n. 5 (October 2022).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001746

  3. Chen, Shi-Zhi / Feng, De-Cheng / Wang, Wen-Jie / Taciroglu, Ertugrul (2022): Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting. In: Journal of Structural Engineering (ASCE), v. 148, n. 8 (August 2022).

    https://doi.org/10.1061/(asce)st.1943-541x.0003401

  4. Feng, De-Cheng / Wang, Wen-Jie / Mangalathu, Sujith / Taciroglu, Ertugrul (2021): Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls. In: Journal of Structural Engineering (ASCE), v. 147, n. 11 (November 2021).

    https://doi.org/10.1061/(asce)st.1943-541x.0003115

  5. Feng, De-Cheng / Wang, Wen-Jie / Mangalathu, Sujith / Hu, Gang / Wu, Tao (2021): Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements. In: Engineering Structures, v. 235 (May 2021).

    https://doi.org/10.1016/j.engstruct.2021.111979

  6. Shao, Yong-Bo / Mohamed, Hazem Samih / Hassanein, Mostafa Fahmi / Wang, Wen-Jie / Xiao, Li (2020): Static Strength of Square T-Joints Reinforced with Collar-Plates under Axial Compression or In-Plane Bending. In: International Journal of Civil Engineering, v. 18, n. 9 (June 2020).

    https://doi.org/10.1007/s40999-020-00513-8

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