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SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes

Research article (Journal of Geotechnical and Geoenvironmental Engineering, 2020) · cited 119× · AI/ML
academia openalex:W3036729602
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SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes

Summary

SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes is a scholarly article[1].

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  • SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes. Retrieved May 24, 2026, from https://4ort.xyz/entity/ss-xgboost-a-machine-learning-framework-for-predicting-newmark-sliding-displacements-of-slopes
MLA “SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ss-xgboost-a-machine-learning-framework-for-predicting-newmark-sliding-displacements-of-slopes.
BibTeX @misc{4ortxyz_ss-xgboost-a-machine-learning-framework-for-predicting-newmark-sliding-displacements-of-slopes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes}}, year = {2026}, url = {https://4ort.xyz/entity/ss-xgboost-a-machine-learning-framework-for-predicting-newmark-sliding-displacements-of-slopes}, note = {Accessed: 2026-05-24}}
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