Furqan Farooq 
- (2024): Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches. In: Case Studies in Construction Materials, v. 20 (July 2024).
- (2024): Forecasting the strength of nanocomposite concrete containing carbon nanotubes by interpretable machine learning approaches with graphical user interface. In: Structures, v. 59 (January 2024).
- (2022): Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach. In: Journal of Building Engineering, v. 56 (September 2022).
- (2021): Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms. In: Construction and Building Materials, v. 308 (November 2021).
- (2021): Geopolymer concrete as sustainable material: A state of the art review. In: Construction and Building Materials, v. 306 (November 2021).
- (2021): Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA. In: Buildings, v. 11, n. 8 (27 July 2021).
- (2021): Micro-cracking pattern recognition of hybrid CNTs/GNPs cement pastes under three-point bending loading using acoustic emission technique. In: Journal of Building Engineering, v. 42 (October 2021).
- (2021): Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest. In: Advances in Civil Engineering, v. 2021 (January 2021).
- (2021): Exploring mechanical performance of hybrid MWCNT and GNMP reinforced cementitious composites. In: Construction and Building Materials, v. 267 (January 2021).
- (2020): Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete. In: Advances in Civil Engineering, v. 2020 (January 2020).
- (2021): Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers. In: Journal of Building Engineering, v. 33 (January 2021).
Structurae cooperates with
