OPUS at UTS: Browsing OPUS - Open Publications of UTS Scholars

Browsing byAuthorArmaghani, DJ

Showing results 1 to 20 of 51 next >

Issue Date	Title	Author(s)
2024-03-01	A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost	He, B; Armaghani, DJ; Tsoukalas, MZ; Qi, C; Bhatawdekar, RM; Asteris, PG
2024-05-01	A deep dive into tunnel blasting studies between 2000 and 2023—A systematic review	He, B; Armaghani, DJ; Lai, SH; He, X; Asteris, PG; Sheng, D
2024-07-01	A novel approach to estimate rock deformation under uniaxial compression using a machine learning technique	T, P; kumar, DR; Kumar, M; Samui, P; Armaghani, DJ
2023-05-01	A novel ensemble machine learning model to predict mine blasting–induced rock fragmentation	Yari, M; He, B; Armaghani, DJ; Abbasi, P; Mohamad, ET
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
2024-09-01	A series of regression models to predict the weathering index of tropical granite rock mass	Suparmanto, EK; Mohamad, ET; Rathinasamy, V; Ahmad Legiman, MK; Zainal, Z; Zainuddin, NE; Slamat, F; Md Dan Azlan, MF; Armaghani, DJ
2024-05-01	A stacked deep multi-kernel learning framework for blast induced flyrock prediction	Zhang, R; Li, Y; Gui, Y; Armaghani, DJ; Yari, M
2024-03	A stacked multiple kernel support vector machine for blast induced flyrock prediction	Zhang, R; Li, Y; Gui, Y; Armaghani, DJ; Yari, M
2024-06-01	A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects	Zhang, Y; Zhou, J; Qiu, Y; Armaghani, DJ; Xie, Q; Yang, P; Xu, C
2024-06-01	Accurate estimation of bearing capacity of stone columns reinforced: An investigation of different optimization algorithms	Fattahi, H; Ghaedi, H; Malekmahmoodi, F; Armaghani, DJ
2024-01	An advanced machine learning technique to predict compressive strength of green concrete incorporating waste foundry sand	Armaghani, DJ; Rasekh, H; Asteris, PG
2024-01-01	An Optimized System of Random Forest Model by Global Harmony Search with Generalized Opposition-Based Learning for Forecasting TBM Advance Rate	Qiu, Y; Huang, S; Armaghani, DJ; Pradhan, B; Zhou, A; Zhou, J
2023-06-01	Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review	Shan, F; He, X; Xu, H; Armaghani, DJ; Sheng, D
2024-01-01	Applications of Soft Computing Methods in Backbreak Assessment in Surface Mines: A Comprehensive Review	Yari, M; Khandelwal, M; Abbasi, P; Koutras, EI; Armaghani, DJ; Asteris, PG
2024-06-01	Appraisal of numerous machine learning techniques for the prediction of bearing capacity of strip footings subjected to inclined loading	Mustafa, R; Samui, P; Kumari, S; Armaghani, DJ
2023-03-01	Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach	He, B; Armaghani, DJ; Lai, SH
2025-02	Development of a Practical Solution to Predict Surface Settlement Induced by Twin Tunnels	Huat, CY; Armaghani, DJ; Bin Hashim, H; Fattahi, H; He, X; Asteris, PG; Fakharian, P
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
2024-01-01	Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance	Shan, F; He, X; Armaghani, DJ; Sheng, D
2023-05-01	Elastic modulus estimation of weak rock samples using random forest technique	Abdi, Y; Momeni, E; Armaghani, DJ

Showing results 1 to 20 of 51 next >