Abidhan Bardhan
- : Compressive Strength Estimation of Manufactured Sand Concrete Using Hybrid ANN Paradigms Constructed with Meta-heuristic Algorithms. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering.
- (2024): Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms. In: Soil Dynamics and Earthquake Engineering, v. 177 (Februar 2024).
- (2021): Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms. In: Infrastructures, v. 6, n. 9 (September 2021).
- (2021): Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models. In: Cement and Concrete Research, v. 145 (Juli 2021).
- (2022): Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms. In: Construction and Building Materials, v. 352 (Oktober 2022).
- (2022): A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns. In: Construction and Building Materials, v. 337 (Juni 2022).
- (2021): Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests. In: Construction and Building Materials, v. 303 (Oktober 2021).
- (2021): Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO. In: Journal of Building Engineering, v. 35 (März 2021).
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