Arbi, Syed Jamal, Rehman, Zia ur, Hassan, Waqas, Khalid, Usama, Ijaz, Nauman, Maqsood, Zain, Haider, Abbas (2025) Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques. Earth Science Informatics, 18 (4). doi:10.1007/s12145-025-01784-2
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques | ||
| Journal | Earth Science Informatics | ||
| Authors | Arbi, Syed Jamal | Author | |
| Rehman, Zia ur | Author | ||
| Hassan, Waqas | Author | ||
| Khalid, Usama | Author | ||
| Ijaz, Nauman | Author | ||
| Maqsood, Zain | Author | ||
| Haider, Abbas | Author | ||
| Year | 2025 (April) | Volume | 18 |
| Issue | 4 | ||
| Publisher | Springer Science and Business Media LLC | ||
| DOI | doi:10.1007/s12145-025-01784-2Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 18184076 | Long-form Identifier | mindat:1:5:18184076:5 |
| GUID | 0 | ||
| Full Reference | Arbi, Syed Jamal, Rehman, Zia ur, Hassan, Waqas, Khalid, Usama, Ijaz, Nauman, Maqsood, Zain, Haider, Abbas (2025) Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques. Earth Science Informatics, 18 (4). doi:10.1007/s12145-025-01784-2 | ||
| Plain Text | Arbi, Syed Jamal, Rehman, Zia ur, Hassan, Waqas, Khalid, Usama, Ijaz, Nauman, Maqsood, Zain, Haider, Abbas (2025) Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques. Earth Science Informatics, 18 (4). doi:10.1007/s12145-025-01784-2 | ||
| In | (2025, April) Earth Science Informatics Vol. 18 (4). Springer Science and Business Media LLC | ||
References Listed
These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.
| Not Yet Imported: - proceedings-article : 10.1109/CEC45853.2021.9504761 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1016/j.engstruct.2019.05.048 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
 | |
| Not Yet Imported: - journal-article : 10.3390/app10196648 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Bazaraa A, Kurkur M (1986) N-values used to predict settlements of piles in Egypt. In: Use of in situ tests in geotechnical engineering, ASCE | |
| Belete DM, Huchaiah MD (2022) Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results. Int J Comput Appl 44(9):875β886 | |
| Biarez J, Foray P (1977) Bearing capacity and settlement of pile foundations. J Geotech Geoenviron Eng 103:348β350 | |
| Not Yet Imported: Engineering Structures - journal-article : 10.1016/j.engstruct.2022.114769 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| |
| Not Yet Imported: - journal-article : 10.1515/cee-2016-0018 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.3390/informatics8040079 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: Neural Computing and Applications - journal-article : 10.1007/s00521-016-2818-2 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.21105/joss.03642 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| |
| Ghorbani, Behnam, Sadrossadat, Ehsan, Bolouri Bazaz, Jafar, Rahimzadeh Oskooei, Parisa (2018) Numerical ANFIS-Based Formulation for Prediction of the Ultimate Axial Load Bearing Capacity of Piles Through CPT Data. Geotechnical and Geological Engineering, 36 (4). 2057-2076 doi:10.1007/s10706-018-0445-7 |
| |
| HeidarieGolafzani S, JamshidiChenari R, Eslami A (2020) Reliability based assessment of axial pile bearing capacity: static analysis, SPT and CPT-based methods. Georisk: Assess Manag Risk Eng Syst Geohazards 14(3):216β230 | |
| Not Yet Imported: - journal-article : 10.1155/2022/7183700 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1016/j.proeng.2016.08.839 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1007/s41939-023-00318-x If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - proceedings-article : 10.1109/ITNEC.2019.8729429 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: Engineering Structures - journal-article : 10.1016/j.engstruct.2021.112883 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - proceedings-article : 10.1109/CEEC47804.2019.8974317 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1007/s11831-020-09500-7 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1155/2020/7381617 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Mohr F, van Rijn JN (2022) Learning Curves for Decision Making in Supervised Machine Learning--A Survey. arXiv preprint arXiv:2201.12150 | |
| |
| Nguyen T-A et al (2020) Estimation offriction capacity of driven piles in clay using. Vietnam J Earth Sci 42(2):265β275 | |
| |
| Not Yet Imported: - journal-article : 10.1007/s00521-022-07896-w If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1007/s42107-023-00818-8 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1371/journal.pone.0265747 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1371/journal.pone.0243030 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Prayogo D et al (2020) Combining machine learning models via adaptive ensemble weighting for prediction of shear capacity of reinforced-concrete deep beams. Eng Comput 36:1135β1153 | |
| Probst P, Boulesteix A-L, Bischl B (2019) Tunability: Importance of hyperparameters of machine learning algorithms. J Mach Learn Res 20(1):1934β1965 | |
| Rehman, Zia ur, Khalid, Usama, Ijaz, Nauman, Mujtaba, Hassan, Haider, Abbas, Farooq, Khalid, Ijaz, Zain (2022) Machine learning-based intelligent modeling of hydraulic conductivity of sandy soils considering a wide range of grain sizes. Engineering Geology, 311. 106899 doi:10.1016/j.enggeo.2022.106899 |
| Rehman Z, Khalid U, Ijaz N, Ijaz Z (2025) Big data-driven global modeling of cohesive soil compaction across conceptual and arbitrary energies through machine learning. Transp Geotech 50:101470 | |
| |
| |
| Not Yet Imported: - journal-article : 10.1016/j.engstruct.2021.113497 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - book-chapter : 10.1201/9780203743959-27 If you would like this item imported into the Digital Library, please contact us quoting Book ID 9780203743959 | |
| Shooshpasha I, Hasanzadeh A, Taghavi A (2013) Prediction of the axial bearing capacity of piles by SPT-based and numerical design methods. Geomate J 4(8):560β564 | |
| Not Yet Imported: - journal-article : 10.3390/a15090315 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1080/19475705.2016.1176604 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: Engineering Structures - journal-article : 10.1016/j.engstruct.2022.113919 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Rehman, Zia ur; Aziz, Zeeshan; Khalid, Usama; Ijaz, Nauman; Rehman, Sadaqat ur; Ijaz, Zain (2025) Artificial intelligence-driven enhanced CBR modeling of sandy soils considering broad grain size variability. Journal of Rock Mechanics and Geotechnical Engineering, 17 (5). doi:10.1016/j.jrmge.2024.05.048 |
| |
| Not Yet Imported: - journal-article : 10.1007/s41939-023-00306-1 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
|
See Also
These are possibly similar items as determined by title/reference text matching only.