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Journal of Earthquake Engineering Volume 26, 2022 - Issue 9
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Research Article

An Artificial Neural Network for Predicting the Near-fault Directivity-pulse Period

Nasrollah Eftekharia Faculty of Technology and Mining, Yasouj University, Choram, 75761-59836, IranCorrespondence[email protected]
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,
Milad Kowsarib Faculty of Civil and Environmental Engineering, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, IcelandView further author information
&
Hadi Sayyadpoura Faculty of Technology and Mining, Yasouj University, Choram, 75761-59836, IranView further author information
Pages 4681-4700 | Received 08 Mar 2019, Accepted 12 Oct 2020, Published online: 05 May 2021

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Rossella Laudani & Giovanni Falsone. (2023) Filter Equations Compatible with the Point-Source Model for Seismic Acceleration. Journal of Earthquake Engineering 27:13, pages 3658-3676.
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Jing Liu, Yingbin Zhang, Peiyi Xu, Ying Zeng, Chenlin Xiang, Haiying Fu, Haihong Yu & Yunyong He. (2023) Predictive Displacement Models Considering the Probability of Pulse-Like Ground Motions for Earthquake-Induced Landslides Hazard Assessment. Journal of Earthquake Engineering 0:0, pages 1-25.
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Articles from other publishers (1)

Shahriar Abdullah & Dhrubo Barua. (2022) Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip, Bangladesh. Ecological Engineering 178, pages 106577.
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