Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/02/27
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Indian UGC (journal)
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Refrences106
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Citations45
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Clement Kweku Arthur Department of Mining Engineering, Faculty of Mineral Resources Technology, University of Mines and Technology, Tarkwa, Ghana
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Victor Amoako Temeng Department of Mining Engineering, Faculty of Mineral Resources Technology, University of Mines and Technology, Tarkwa, Ghana
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Yao Yevenyo Ziggah Department of Geomatic Engineering, Faculty of Mineral Resources Technology, University of Mines and Technology, Tarkwa, Ghana ORCID (unauthenticated)
Cite
Arthur, Clement Kweku, et al. “Multivariate Adaptive Regression Splines (MARS) Approach to Blast-Induced Ground Vibration Prediction”. International Journal of Mining, Reclamation and Environment, vol. 34, no. 3, 2019, pp. 198-22, https://doi.org/10.1080/17480930.2019.1577940.
Arthur, C. K., Temeng, V. A., & Ziggah, Y. Y. (2019). Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction. International Journal of Mining, Reclamation and Environment, 34(3), 198-222. https://doi.org/10.1080/17480930.2019.1577940
Arthur CK, Temeng VA, Ziggah YY. Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction. International Journal of Mining, Reclamation and Environment. 2019;34(3):198-222.
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Prediction of Peak Velocity of Blasting Vibration Based on Artificial Neural Network Optimized by Dimensionality Reduction of FA-MIV | Mathematical Problems in Engineering |
| 20 | 2018 |
| Lateral capacity of pile with grouted upper soil: field test and numerical simulation | Innovative Infrastructure Solutions |
| 23 | 2018 |
| Lateral capacity of pile with grouted upper soil: field test and numerical simulation | 2016 | |||
| Lateral capacity of pile with grouted upper soil: field test and numerical simulation | 2015 | |||
| Lateral capacity of pile with grouted upper soil: field test and numerical simulation | 2013 |
Citations
Citations Analysis
The category
Science: Geology 14
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Prediction of Blast-Induced Ground Vibration in Open-Pit Mines Using a New Technique Based on Imperialist Competitive Algorithm and M5Rules and was published in 2019. The most recent citation comes from a 2024 study titled Enhancing rock fragmentation assessment in mine blasting through machine learning algorithms: a practical approach. This article reached its peak citation in 2021, with 12 citations. It has been cited in 27 different journals, 25% of which are open access. Among related journals, the Tropical Animal Health and Production cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.