Danial Jahed Armaghani 
- (2024): Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites. In: Infrastructures, v. 9, n. 10 (8 October 2024).
- (2024): Flexural properties of fiber-reinforced concrete using hybrid recycled steel fibers and manufactured steel fibers. In: Journal of Building Engineering, v. 98 (December 2024).
- (2024): Second-order reliability analysis of an energy pile with CPT data. In: Journal of Building Engineering, v. 95 (October 2024).
- (2024): Accurate estimation of bearing capacity of stone columns reinforced: An investigation of different optimization algorithms. In: Structures, v. 64 (June 2024).
- (2024): Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks. In: Tunnelling and Underground Space Technology, v. 152 (October 2024).
- (2024): A deep dive into tunnel blasting studies between 2000 and 2023—A systematic review. In: Tunnelling and Underground Space Technology, v. 147 (May 2024).
- (2023): Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT Results. In: Infrastructures, v. 8, n. 8 (31 July 2023).
- (2023): Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach. In: Tunnelling and Underground Space Technology, v. 133 (March 2023).
- (2022): Iterative Finite Element Analysis of Concrete-Filled Steel Tube Columns Subjected to Axial Compression. In: Buildings, v. 12, n. 12 (1 December 2022).
- (2022): Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete. In: Construction and Building Materials, v. 359 (December 2022).
- (2022): Success and challenges in predicting TBM penetration rate using recurrent neural networks. In: Tunnelling and Underground Space Technology, v. 130 (December 2022).
- (2021): Review on Dynamic Behaviour of Earth Dam and Embankment During an Earthquake. In: Geotechnical and Geological Engineering, v. 40, n. 1 (30 June 2021).
- (2022): Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization. In: Underground Space, v. 7, n. 5 (October 2022).
- (2022): Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms. In: Buildings, v. 12, n. 2 (18 January 2022).
- (2022): A Short Overview of Soft Computing Techniques in Tunnel Construction. In: The Open Construction and Building Technology Journal, v. 16, n. 1 (3 February 2022).
- (2021): Novel Fuzzy-Based Optimization Approaches for the Prediction of Ultimate Axial Load of Circular Concrete-Filled Steel Tubes. In: Buildings, v. 11, n. 12 (23 November 2021).
- (2021): Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches. In: Tunnelling and Underground Space Technology, v. 118 (December 2021).
- (2021): Influence of sodium aluminate on calcium leaching of shotcrete in tunnels. In: Tunnelling and Underground Space Technology, v. 117 (November 2021).
- (2021): Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques. In: Underground Space, v. 6, n. 4 (August 2021).
- (2017): Shaft resistance of bored piles socketed in Malaysian granite. In: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, v. 170, n. 4 (August 2017).
- (2015): Bearing capacity of precast thin-walled foundation in sand. In: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, v. 168, n. 6 (December 2015).
- (2020): Intelligence Prediction of Some Selected Environmental Issues of Blasting: A Review. In: The Open Construction and Building Technology Journal, v. 14, n. 1 (18 February 2020).
- (2020): Meta-Heuristic Algorithms in Civil Engineering. In: The Open Construction and Building Technology Journal, v. 14, n. 1 (18 February 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 (December 2020).
- (2021): Estimating TBM advance rate in hard rock condition using XGBoost and Bayesian optimization. In: Underground Space, v. 6, n. 5 (October 2021).
- (2017): Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition. In: Tunnelling and Underground Space Technology, v. 63 (March 2017).
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