Rupesh Kumar Tipu
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: Numerical and machine learning models for concentrically and eccentrically loaded
CFST columns confined withFRP wraps. In: Structural Concrete. - (2024): Predicting compressive strength of concrete with iron waste: a BPNN approach. In: Asian Journal of Civil Engineering, v. 25, n. 7 (Juli 2024).
- (2024): Optimizing compressive strength in sustainable concrete: a machine learning approach with iron waste integration. In: Asian Journal of Civil Engineering, v. 25, n. 6 (24 Juni 2024).
- : Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering.
- (2024): Influence of machine learning approaches for partial replacement of cement content through waste in construction sector. In: Asian Journal of Civil Engineering, v. 25, n. 4 (Februar 2024).
- (2024): Machine learning-based prediction of concrete strengths with coconut shell as partial coarse aggregate replacement: a comprehensive analysis and sensitivity study. In: Asian Journal of Civil Engineering, v. 25, n. 4 (Februar 2024).
- (2024): Predictive modeling of shear strength in fiber-reinforced cementitious matrix-strengthened RC beams using machine learning. In: Asian Journal of Civil Engineering, v. 25, n. 4 (Februar 2024).
- (2024): Machine learning-based prediction of concrete strength properties with coconut shell as partial aggregate replacement: A sustainable approach in construction engineering. In: Asian Journal of Civil Engineering, v. 25, n. 3 (Januar 2024).
- (2024): Prognosis of flow of fly ash and blast furnace slag-based concrete: leveraging advanced machine learning algorithms. In: Asian Journal of Civil Engineering, v. 25, n. 3 (Januar 2024).
- (2023): Efficient compressive strength prediction of concrete incorporating recycled coarse aggregate using Newton’s boosted backpropagation neural network (NB-BPNN). In: Structures, v. 58 (Dezember 2023).
- (2023): Enhancing load capacity prediction of column using eReLU-activated BPNN model. In: Structures, v. 58 (Dezember 2023).
- (2023): Shear capacity prediction for FRCM-strengthened RC beams using Hybrid ReLU-Activated BPNN model. In: Structures, v. 58 (Dezember 2023).
- (2023): Predictive modelling of surface chloride concentration in marine concrete structures: a comparative analysis of machine learning approaches. In: Asian Journal of Civil Engineering, v. 25, n. 2 (Oktober 2023).
- (2023): Enhancing prediction accuracy of workability and compressive strength of high-performance concrete through extended dataset and improved machine learning models. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).
- (2023): Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).
- (2023): Development of a hybrid stacked machine learning model for predicting compressive strength of high-performance concrete. In: Asian Journal of Civil Engineering, v. 24, n. 8 (Juni 2023).
- (2022): Multi-objective optimized high-strength concrete mix design using a hybrid machine learning and metaheuristic algorithm. In: Asian Journal of Civil Engineering, v. 24, n. 3 (November 2022).
- (2022): An ensemble approach to improve BPNN model precision for predicting compressive strength of high-performance concrete. In: Structures, v. 45 (November 2022).
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