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Research article

First published 2024-11

Usability of Community Seismic Network recordings for ground-motion modeling

Shako Mohammed, Rashid Shams, Chukwuebuka C Nweke [...]

Earthquake Spectra

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Research article

First published 2023-2

Ground motion model for Peninsular India using an artificial neural network

Yellapragada Meenakshi, Sreenath Vemula, Akshay Alne [...]

Earthquake Spectra

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Research article

First published 2024-11

Predicting the seismic ground-motion parameters: 3D physics-based numerical simulations combined with artificial neural networks

Zhenning Ba, Linghui Lyu, Jingxuan Zhao [...]

Earthquake Spectra

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Research article

First published 2025-2

Deep-neural-network model for predicting ground motion parameters using earthquake horizontal-to-vertical spectral ratios

Da Pan, Hiroyuki Miura

Earthquake Spectra

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Research article

First published 2019-11

A Neural Network for Automated Quality Screening of Ground Motion Records from Small Magnitude Earthquakes

Xavier Bellagamba, Robin Lee, Brendon A. Bradley

Earthquake Spectra

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Research article

First published 2025-5

Deep neural network–powered ground-motion models for acceleration spectrum intensity,Housner’s spectrum intensity,and displacement spectrum intensity

Mao-Xin Wang, Gang Wang

Earthquake Spectra

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Research article

First published 2022-2

Residual displacement estimation of the bilinear SDOF systems under the near-fault ground motions using the BP neural network

Mingkang Wei, Xiaobin Hu, Huanxin Yuan

Advances in Structural Engineering

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Other

First published 2018-5

Field Monitoring of Strong Ground Motion in Urban Areas: The Kalochori Accelerometric Network (KAN),Database and Web-GIS Portal

Emmanouil Rovithis, Konstantia Makra, Emmanouil Kirtas [...]

Earthquake Spectra

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Research article

First published 2021-11

Ground motions in urban Los Angeles from the 2019 Ridgecrest earthquake sequence

Filippos Filippitzis, Monica D Kohler, Thomas H Heaton [...]

Earthquake Spectra

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Research article

First published 2025-7

Machine learning-based strain response prediction method for structural members of a building using ground motion data and intensity measures

Hyo Seon Park, Byung Kwan Oh

Advances in Structural Engineering

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