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Issue Date	Title	Author(s)
2023-01-01	Prediction of resilient modulus of ballast under cyclic loading using machine learning techniques	Indraratna, B; Armaghani, DJ; Gomes Correia, A; Hunt, H; Ngo, T
2022	Prediction of Resilient Modulus of Ballast Under Cyclic Loading Using Machine Learning Techniques	Indraratna, B; Armaghani, DJ; Correia, AG; Hunt, H; Ngo, T
2022-01-18	Environmental Issues of Blasting Applications of Artificial Intelligence Techniques	Bhatawdekar, RM; Armaghani, DJ; Azizi, A
2023-09-01	Response to Discussion on “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Georg H. Erharter, Thomas Marcher	Shan, F; He, X; Armaghani, DJ; Zhang, P; Sheng, D
2024-01-01	A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material Properties	Kazemi, MMK; Nabavi, Z; Armaghani, DJ
2023-09-01	Simulation of Surface Settlement Induced by Parallel Mechanised Tunnelling	Yu Huat, C; Armaghani, DJ; Lai, SH; Rasekh, H; He, X
2023-06-01	Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review	Shan, F; He, X; Xu, H; Armaghani, DJ; Sheng, D
2023-08-01	Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT Results	Ghanizadeh, AR; Aziminejad, A; Asteris, PG; Armaghani, DJ
2023-09-01	Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain	Medawela, S; Armaghani, DJ; Indraratna, B; Kerry Rowe, R; Thamwattana, N
2023-05-01	Elastic modulus estimation of weak rock samples using random forest technique	Abdi, Y; Momeni, E; Armaghani, DJ

Results 1-10 of 16 (Search time: 0.179 seconds).

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