Suraj Kumar Parhi
- (2024): AI-driven critical parameter optimization of sustainable self-compacting geopolymer concrete. Dans: Journal of Building Engineering, v. 86 (juin 2024).
- (2023): Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated temperature. Dans: Construction and Building Materials, v. 400 (octobre 2023).
- (2023): Prediction of compressive strength of geopolymer concrete using a hybrid ensemble of grey wolf optimized machine learning estimators. Dans: Journal of Building Engineering, v. 71 (juillet 2023).
- (2024): Application of R-curve, ANCOVA, and RSM techniques on fracture toughness enhancement in PET fiber-reinforced concrete. Dans: Construction and Building Materials, v. 411 (janvier 2024).
- (2024): GGBFS-Based Self-Compacting Geopolymer Concrete with Optimized Mix Parameters Established on Fresh, Mechanical, and Durability Characteristics. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 2 (février 2024).
- (2023): Compressive strength prediction of PET fiber-reinforced concrete using Dolphin echolocation optimized decision tree-based machine learning algorithms. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).
- (2023): Alkali–silica reaction expansion prediction in concrete using hybrid metaheuristic optimized machine learning algorithms. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).
- (2023): A comprehensive study on Controlled Low Strength Material. Dans: Journal of Building Engineering, v. 76 (octobre 2023).
- (2023): Evolutionary optimization of machine learning algorithm hyperparameters for strength prediction of high-performance concrete. Dans: Asian Journal of Civil Engineering, v. 24, n. 8 (juin 2023).
- (2022): Factors affecting production and properties of self-compacting geopolymer concrete – A review. Dans: Construction and Building Materials, v. 344 (août 2022).
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