Yijun Lu
- (2024): Prediction of Compressive Strength of Geopolymer Concrete Landscape Design: Application of the Novel Hybrid RF–GWO–XGBoost Algorithm. Dans: Buildings, v. 14, n. 3 (21 février 2024).
- (2024): Towards a Reliable Design of Geopolymer Concrete for Green Landscapes: A Comparative Study of Tree-Based and Regression-Based Models. Dans: Buildings, v. 14, n. 3 (21 février 2024).
- (2024): Understanding Penetration Attenuation of Permeable Concrete: A Hybrid Artificial Intelligence Technique Based on Particle Swarm Optimization. Dans: Buildings, v. 14, n. 4 (27 mars 2024).
- (2023): Strength Reduction Due to Acid Attack in Cement Mortar Containing Waste Eggshell and Glass: A Machine Learning-Based Modeling Study. Dans: Buildings, v. 14, n. 1 (31 décembre 2023).
- (2024): Towards Designing Durable Sculptural Elements: Ensemble Learning in Predicting Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete. Dans: Buildings, v. 14, n. 2 (1 février 2024).
- (2023): Strength Estimation and Feature Interaction of Carbon Nanotubes-Modified Concrete Using Artificial Intelligence-Based Boosting Ensembles. Dans: Buildings, v. 14, n. 1 (31 décembre 2023).
- (2023): Exploring spatial and environmental heterogeneity affecting energy consumption in commercial buildings using machine learning. Dans: Sustainable Cities and Society, v. 95 (août 2023).
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