Browsing byAuthorArmaghani, DJ

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Showing results 1 to 20 of 20
Issue DateTitleAuthor(s)
2023-05-01A novel ensemble machine learning model to predict mine blasting–induced rock fragmentationYari, M; He, B; Armaghani, DJ; Abbasi, P; Mohamad, ET
2024-01-01A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material PropertiesKazemi, MMK; Nabavi, Z; Armaghani, DJ
2023-06-01Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic ReviewShan, F; He, X; Xu, H; Armaghani, DJ; Sheng, D
2023-03-01Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approachHe, B; Armaghani, DJ; Lai, SH
2023-09-01Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrainMedawela, S; Armaghani, DJ; Indraratna, B; Kerry Rowe, R; Thamwattana, N
2024-01-01Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performanceShan, F; He, X; Armaghani, DJ; Sheng, D
2023-05-01Elastic modulus estimation of weak rock samples using random forest techniqueAbdi, Y; Momeni, E; Armaghani, DJ
2022-01-18Environmental Issues of Blasting Applications of Artificial Intelligence TechniquesBhatawdekar, RM; Armaghani, DJ; Azizi, A
2024-02Genetic 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
2022-03Genetic 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
2023-09-01Hybridized random forest with population-based optimization for predicting shear properties of rock fracturesZhou, J; Wang, Z; Li, C; Wei, W; Wang, S; Armaghani, DJ; Peng, K
2023-09-01Infrared radiation constitutive model of sandstone during loading fractureCao, K; Dong, F; Ma, L; Khan, NM; Alarifi, SS; Hussain, S; Armaghani, DJ
2022-10-01Prediction and Optimization of Pile Bearing Capacity Considering Effects of TimeKhanmohammadi, M; Armaghani, DJ; SabriSabri, MM
2023-12-01Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector RegressionLi, C; Zhou, J; Du, K; Armaghani, DJ; Huang, S
2023-01-01Prediction of resilient modulus of ballast under cyclic loading using machine learning techniquesIndraratna, B; Armaghani, DJ; Gomes Correia, A; Hunt, H; Ngo, T
2022Prediction of Resilient Modulus of Ballast Under Cyclic Loading Using Machine Learning TechniquesIndraratna, B; Armaghani, DJ; Correia, AG; Hunt, H; Ngo, T
2023-09-01Response to Discussion on “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Georg H. Erharter, Thomas MarcherShan, F; He, X; Armaghani, DJ; Zhang, P; Sheng, D
2023-09-01Simulation of Surface Settlement Induced by Parallel Mechanised TunnellingYu Huat, C; Armaghani, DJ; Lai, SH; Rasekh, H; He, X
2023-08-01Soft Computing to Predict Earthquake-Induced Soil Liquefaction via CPT ResultsGhanizadeh, AR; Aziminejad, A; Asteris, PG; Armaghani, DJ
2021-12-01TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithmHarandizadeh, H; Armaghani, DJ; Asteris, PG; Gandomi, AH