Issue Date | Title | Author(s) |
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 |
2023-06-01 | Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review | Shan, F; He, X; Xu, H; Armaghani, DJ; Sheng, D |
2023-03-01 | Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach | He, B; Armaghani, DJ; Lai, SH |
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 |
2022-01-18 | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques | Bhatawdekar, RM; Armaghani, DJ; Azizi, A |
2024-02 | Genetic justification of COVID-19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm. | Asteris, PG; Gandomi, AH; Armaghani, DJ; Tsoukalas, MZ; Gavriilaki, E; Gerber, G; Konstantakatos, G; Skentou, AD; Triantafyllidis, L; Kotsiou, N; Braunstein, E; Chen, H; Brodsky, R; Touloumenidou, T; Sakellari, I; Alkayem, NF; Bardhan, A; Cao, M; Cavaleri, L; Formisano, A; Guney, D; Hasanipanah, M; Khandelwal, M; Mohammed, AS; Samui, P; Zhou, J; Terpos, E; Dimopoulos, MA |
2022-03 | Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks. | Asteris, PG; Gavriilaki, E; Touloumenidou, T; Koravou, E-E; Koutra, M; Papayanni, PG; Pouleres, A; Karali, V; Lemonis, ME; Mamou, A; Skentou, AD; Papalexandri, A; Varelas, C; Chatzopoulou, F; Chatzidimitriou, M; Chatzidimitriou, D; Veleni, A; Rapti, E; Kioumis, I; Kaimakamis, E; Bitzani, M; Boumpas, D; Tsantes, A; Sotiropoulos, D; Papadopoulou, A; Kalantzis, IG; Vallianatou, LA; Armaghani, DJ; Cavaleri, L; Gandomi, AH; Hajihassani, M; Hasanipanah, M; Koopialipoor, M; Lourenço, PB; Samui, P; Zhou, J; Sakellari, I; Valsami, S; Politou, M; Kokoris, S; Anagnostopoulos, A |
2023-09-01 | Hybridized random forest with population-based optimization for predicting shear properties of rock fractures | Zhou, J; Wang, Z; Li, C; Wei, W; Wang, S; Armaghani, DJ; Peng, K |
2023-09-01 | Infrared radiation constitutive model of sandstone during loading fracture | Cao, K; Dong, F; Ma, L; Khan, NM; Alarifi, SS; Hussain, S; Armaghani, DJ |
2022-10-01 | Prediction and Optimization of Pile Bearing Capacity Considering Effects of Time | Khanmohammadi, M; Armaghani, DJ; SabriSabri, MM |
2023-12-01 | Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector Regression | Li, C; Zhou, J; Du, K; Armaghani, DJ; Huang, 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 |
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 |
2023-09-01 | Simulation of Surface Settlement Induced by Parallel Mechanised Tunnelling | Yu Huat, C; Armaghani, DJ; Lai, SH; Rasekh, H; He, X |
2023-08-01 | Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT Results | Ghanizadeh, AR; Aziminejad, A; Asteris, PG; Armaghani, DJ |
2021-12-01 | TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm | Harandizadeh, H; Armaghani, DJ; Asteris, PG; Gandomi, AH |