Baboo Rai 
- (2024): Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques. Dans: Journal of Structural Integrity and Maintenance, v. 9, n. 3 (2 juillet 2024).
- (2024): Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume. Dans: Structures, v. 66 (août 2024).
- : Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review. Dans: Structural Concrete.
- (2024): Prediction of compressive strength of high-volume fly ash self-compacting concrete with silica fume using machine learning techniques. Dans: Construction and Building Materials, v. 438 (août 2024).
- (2024): Prediction of the Splitting Tensile Strength of Manufactured Sand Based High-Performance Concrete Using Explainable Machine Learning. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 48, n. 5 (avril 2024).
- (2024): Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models. Dans: Asian Journal of Civil Engineering, v. 25, n. 4 (février 2024).
- (2023): Durability and fire resistance of high-performance fiber reinforced concrete with fly ash. Dans: Journal of Structural Integrity and Maintenance, v. 9, n. 1 (septembre 2023).
- (2023): A new technique based on the gorilla troop optimization coupled with artificial neural network for predicting the compressive strength of ultrahigh performance concrete. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).
- (2023): A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique. Dans: Structural Concrete, v. 24, n. 4 (5 juillet 2023).
- (2022): Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete. Dans: Construction and Building Materials, v. 346 (septembre 2022).
- (2022): Synergetic effect of fly ash and silica fume on the performance of high volume fly ash self-compacting concrete. Dans: Journal of Structural Integrity and Maintenance, v. 7, n. 1 (2 janvier 2022).
- (2021): Statistical and experimental study to evaluate the variability and reliability of impact strength of steel-polypropylene hybrid fiber reinforced concrete. Dans: Journal of Building Engineering, v. 44 (décembre 2021).
- (2020): Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression. Dans: Journal of Building Engineering, v. 32 (novembre 2020).
- (2021): Assessment of synergetic effect on microscopic and mechanical properties of steel‐polypropylene hybrid fiber reinforced concrete. Dans: Structural Concrete, v. 22, n. 1 (février 2021).
- (2019): Efficiency Concepts and Models that Evaluates the Strength of Concretes Containing Different Supplementary Cementitious Materials. Dans: Civil Engineering Journal, v. 5, n. 1 (janvier 2019).
- (2018): A Statistical Study to Investigate the Efficiency of Steel and Polypropylene Fiber in Enhancing the Durability Properties of Concrete Composites. Dans: Civil Engineering Journal, v. 4, n. 6 (juillet 2018).
- (2019): Determination of compressive strength using relevance vector machine and emotional neural network. Dans: Asian Journal of Civil Engineering, v. 20, n. 8 (août 2019).
- (2018): A statistical investigation of different parameters influencing compressive strength of fly ash induced geopolymer concrete. Dans: Structural Concrete, v. 19, n. 5 (octobre 2018).
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