- Exploring the interrelationships between composition, rheology, and compressive strength of self-compacting concrete: An exploration of explainable boosting algorithms. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024). (2024):
- Microencapsulated phase change materials for enhanced thermal energy storage performance in construction materials: A critical review. Dans: Construction and Building Materials, v. 401 (octobre 2023). (2023):
- Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023). (2023):
- Graphene-based concrete: Synthesis strategies and reinforcement mechanisms in graphene-based cementitious composites (Part 1). Dans: Construction and Building Materials, v. 396 (septembre 2023). (2023):
- GPT models in construction industry: Opportunities, limitations, and a use case validation. Dans: Developments in the Built Environment, v. 17 (mars 2024). (2024):
- Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023). (2023):
- Evaluating mechanical, microstructural and durability performance of seawater sea sand concrete modified with silica fume. Dans: Journal of Building Engineering, v. 72 (août 2023). (2023):
- An overview of factors influencing the properties of concrete incorporating construction and demolition wastes. Dans: Construction and Building Materials, v. 367 (février 2023). (2023):
- A review on the durability performance of alkali-activated binders subjected to chloride-bearing environment. Dans: Construction and Building Materials, v. 317 (janvier 2022). (2022):
- Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural network. Dans: Journal of Structural Integrity and Maintenance, v. 6, n. 4 (15 septembre 2021). (2021):
- Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach. Dans: Construction and Building Materials, v. 301 (septembre 2021). (2021):
- Assessment of acid resistance of natural pozzolan-based alkali-activated concrete: Experimental and optimization modelling. Dans: Construction and Building Materials, v. 304 (octobre 2021). (2021):
- Modelling the early strength of alkali-activated cement composites containing palm oil fuel ash. Dans: Proceedings of the Institution of Civil Engineers - Construction Materials, v. 172, n. 3 (juin 2019). (2019):
- Influence of composition and concentration of alkaline activator on the properties of natural-pozzolan based green concrete. Dans: Construction and Building Materials, v. 201 (mars 2019). (2019):
- Impact of added water and superplasticizer on early compressive strength of selected mixtures of palm oil fuel ash-based engineered geopolymer composites. Dans: Construction and Building Materials, v. 109 (avril 2016). (2016):
- Durability performance of Palm Oil Fuel Ash-based Engineered Alkaline-activated Cementitious Composite (POFA-EACC) mortar in sulfate environment. Dans: Construction and Building Materials, v. 131 (janvier 2017). (2017):
- POFA-Engineered Alkali-activated Cementitious Composite Performance in Acid Environment. Dans: Journal of Advanced Concrete Technology, v. 15, n. 11 ( 2017). (2017):
- Impact of Al(OH)3 addition to POFA on the compressive strength of POFA alkali-activated mortar. Dans: Construction and Building Materials, v. 190 (novembre 2018). (2018):