Binh Thai Pham
- (2024): Application of two machine learning algorithms for predicting bridge vertical deflection. In: Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, v. 177, n. 1 (März 2024).
- : Hybrid machine learning model for prediction of vertical deflection of composite bridges. In: Proceedings of the Institution of Civil Engineers - Bridge Engineering.
- (2023): Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system. In: Frontiers of Structural and Civil Engineering, v. 17, n. 5 (Mai 2023).
- (2021): Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony. In: Construction and Building Materials, v. 284 (Mai 2021).
- (2022): Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India. In: Advances in Civil Engineering, v. 2022 (Januar 2022).
- (2022): Prediction of interlayer shear strength of double-layer asphalt using novel hybrid artificial intelligence models of ANFIS and metaheuristic optimizations. In: Construction and Building Materials, v. 323 (März 2022).
- (2021): Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2021): Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2020): Soil Unconfined Compressive Strength Prediction Using Random Forest (RF) Machine Learning Model. In: The Open Construction and Building Technology Journal, v. 14, n. 1 (18 Februar 2020).
- (2020): Prediction of Shear Strength of Soil Using Direct Shear Test and Support Vector Machine Model. In: The Open Construction and Building Technology Journal, v. 14, n. 1 (18 Februar 2020).
- (2020): Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models. In: Soil Dynamics and Earthquake Engineering, v. 139 (Dezember 2020).
- (2020): Prediction of Shear Strength of Soil Using Direct Shear Test and Support Vector Machine Model. In: The Open Construction and Building Technology Journal, v. 14, n. 1 (18 Februar 2020).
- (2019): Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis. In: The Open Construction and Building Technology Journal, v. 13, n. 1 (November 2019).
- (2018): Landslide susceptibility modelling using different advanced decision trees methods. In: Civil Engineering and Environmental Systems, v. 35, n. 1-4 (Oktober 2018).
Structurae kooperiert mit
