Items where Author is "Ulrikh, Dmitrii Vladimirovich"

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Number of items: 9.

Article

Cheng, Gege and Lai, Sai Hin and Rashid, Ahmad Safuan A. and Ulrikh, Dmitrii Vladimirovich and Wang, Bin (2023) Investigating the effect of parameters on confinement coefficient of reinforced concrete using development of learning machine models. Sustainability, 15 (1). ISSN 2071-1050, DOI https://doi.org/10.3390/su15010199.

Zhang, Xuesong and He, Biao and Sabri, Mohanad Muayad Sabri and Al-Bahrani, Mohammed and Ulrikh, Dmitrii Vladimirovich (2022) Soil liquefaction prediction based on bayesian optimization and support vector machines. Sustainability, 14 (19). ISSN 2071-1050, DOI https://doi.org/10.3390/su141911944.

Zhang, Shaojie and Hasanipanah, Mahdi and He, Biao and Rashid, Ahmad Safuan A. and Ulrikh, Dmitrii Vladimirovich and Fang, Qiancheng (2022) An optimized clustering approach to investigate the main features in predicting the punching shear capacity of steel fiber-reinforced concrete. Sustainability, 14 (19). ISSN 2071-1050, DOI https://doi.org/10.3390/su141912950.

Moosavi, Seyed Mohammad Hossein and Ma, Zhenliang and Armaghani, Danial Jahed and Aghaabbasi, Mahdi and Ganggayah, Mogana Darshini and Yuen, Choon Wah and Ulrikh, Dmitrii Vladimirovich (2022) Understanding and predicting the usage of shared electric scooter services on university campuses. Applied Sciences-Basel, 12 (18). ISSN 2076-3417, DOI https://doi.org/10.3390/app12189392.

Wang, Jiangfeng and Mohammed, Ahmed Salih and Macioszek, Elzbieta and Ali, Mujahid and Ulrikh, Dmitrii Vladimirovich and Fang, Qiancheng (2022) A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance. Buildings, 12 (7). ISSN 2075-5309, DOI https://doi.org/10.3390/buildings12070919.

He, Biao and Lai, Sai Hin and Mohammed, Ahmed Salih and Sabri, Mohanad Muayad Sabri and Ulrikh, Dmitrii Vladimirovich (2022) Estimation of blast-induced peak particle velocity through the improved weighted random forest technique. Applied Sciences-Basel, 12 (10). ISSN 2076-3417, DOI https://doi.org/10.3390/app12105019.

Sarir, Payam and Armaghani, Danial Jahed and Jiang, Huanjun and Sabri, Mohanad Muayad Sabri and He, Biao and Ulrikh, Dmitrii Vladimirovich (2022) Prediction of bearing capacity of the square concrete-filled steel tube columns: An application of metaheuristic-based neural network models. Materials, 15 (9). DOI https://doi.org/10.3390/ma15093309.

Huat, Chia Yu and Moosavi, Seyed Mohammad Hossein and Mohammed, Ahmed Salih and Armaghani, Danial Jahed and Ulrikh, Dmitrii Vladimirovich and Monjezi, Masoud and Lai, Sai Hin (2021) Factors influencing pile friction bearing capacity: Proposing a novel procedure based on gradient boosted tree technique. Sustainability, 13 (21). ISSN 2071-1050, DOI https://doi.org/10.3390/su132111862.

Li, Yan and Hishamuddin, Fathin Nur Syakirah and Mohammed, Ahmed Salih and Armaghani, Danial Jahed and Ulrikh, Dmitrii Vladimirovich and Dehghanbanadaki, Ali and Azizi, Aydin (2021) The effects of rock index tests on prediction of tensile strength of granitic samples: A neuro-fuzzy intelligent system. Sustainability, 13 (19). ISSN 2071-1050, DOI https://doi.org/10.3390/su131910541.

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