- A New Understanding of the Alkali-Silica Reaction Expansion in Concrete Using a Hybrid Ensemble Model. Dans: Journal of Building Engineering, v. 96 (novembre 2024). (2024):
- Investigation of High Plasticity Clay Stabilized with Cement and Zeolite Using Time-Dependent Pressure Wave Velocity. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 6 (juin 2024). (2024):
- Deep learning-assisted calculation of apparent activation energy for cement-based systems incorporating microencapsulated phase change materials. Dans: Construction and Building Materials, v. 404 (novembre 2023). (2023):
- Seismic behavior of autoclaved aerated concrete masonry walls reinforced with glass-fiber geogrid. Dans: Structures, v. 58 (décembre 2023). (2023):
- Utilization of iron ore tailings with high volume in green concrete. Dans: Journal of Building Engineering, v. 72 (août 2023). (2023):
- Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review. Dans: Construction and Building Materials, v. 310 (décembre 2021). (2021):
- Hybrid deep learning model for concrete incorporating microencapsulated phase change materials. Dans: Construction and Building Materials, v. 319 (février 2022). (2022):
- Crack self-healing in alkali-activated slag composites incorporating immobilized bacteria. Dans: Construction and Building Materials, v. 326 (avril 2022). (2022):
- Chemistry-informed machine learning prediction of compressive strength for alkali-activated materials. Dans: Construction and Building Materials, v. 316 (janvier 2022). (2022):
- Predicting shear strength of FRP-reinforced concrete beams using novel synthetic data driven deep learning. Dans: Engineering Structures, v. 257 (avril 2022). (2022):
- Thermal and mechanical properties of building external walls plastered with cement mortar incorporating shape-stabilized phase change materials (SSPCMs). Dans: Construction and Building Materials, v. 270 (février 2021). (2021):
- An innovative apparatus for simulating daily temperature for investigating thermal performance of wallboards incorporating PCMs. Dans: Energy and Buildings, v. 167 (mai 2018). (2018):
- Machine learning prediction of compressive strength for phase change materials integrated cementitious composites. Dans: Construction and Building Materials, v. 265 (décembre 2020). (2020):
- Integrating phase change materials in construction materials: Critical review. Dans: Construction and Building Materials, v. 217 (août 2019). (2019):