Ayaz Ahmad
- (2024): Data-driven approaches for strength prediction of alkali-activated composites. In: Case Studies in Construction Materials, v. 20 (Juli 2024).
- (2023): Recent advancements and future trends in 3D concrete printing using waste materials. In: Developments in the Built Environment, v. 16 (Dezember 2023).
- (2023): Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder. In: Case Studies in Construction Materials, v. 18 (Juli 2023).
- (2023): Performance characteristics of cementitious composites modified with silica fume: A systematic review. In: Case Studies in Construction Materials, v. 18 (Juli 2023).
- (2022): A worldwide development in the accumulation of waste tires and its utilization in concrete as a sustainable construction material: A review. In: Case Studies in Construction Materials, v. 17 (Dezember 2022).
- (2022): Potential use of waste eggshells in cement-based materials: A bibliographic analysis and review of the material properties. In: Construction and Building Materials, v. 344 (August 2022).
- (2022): Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques. In: Case Studies in Construction Materials, v. 16 (Juni 2022).
- (2022): A comprehensive overview of geopolymer composites: A bibliometric analysis and literature review. In: Case Studies in Construction Materials, v. 16 (Juni 2022).
- (2022): A scientometric analysis approach to analyze the present research on recycled aggregate concrete. In: Journal of Building Engineering, v. 46 (April 2022).
- (2022): A systematic review of waste materials in cement-based composites for construction applications. In: Journal of Building Engineering, v. 45 (Januar 2022).
- (2021): A scientometric review of waste material utilization in concrete for sustainable construction. In: Case Studies in Construction Materials, v. 15 (Dezember 2021).
- (2021): Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review. In: Case Studies in Construction Materials, v. 15 (Dezember 2021).
- (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): Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA. In: Buildings, v. 11, n. 8 (27 Juli 2021).
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