H. S. Lee
- An interpretable probabilistic machine learning model for forecasting compressive strength of oil palm shell-based lightweight aggregate concrete containing fly ash or silica fume. In: Construction and Building Materials, v. 426 (Mai 2024). (2024):
- Determination of coefficient “s” and apparent activation energy for fib model code’s maturity-based strength function when applied to fly ash concrete. In: Construction and Building Materials, v. 409 (Dezember 2023). (2023):
- Using ensemble model to predict isothermal hydration heat of fly ash cement paste considering fly ash content, water to binder ratio and curing temperature. In: Case Studies in Construction Materials, v. 18 (Juli 2023). (2023):
- Utilization of bio-waste eggshell powder as a potential filler material for cement: Analyses of zeta potential, hydration and sustainability. In: Construction and Building Materials, v. 325 (März 2022). (2022):