Development of Seismic Intensity Maps Using Low-Cost Micro-Electro-Mechanical Systems Seismic Network

Authors: Ahn, J., Lee, J., Kwon, Y., Kim, J., Kwak, D.Y.

Source: IEEE Access Access, IEEE. 11:39926-39933 2023

Development of ann-based data-driven ground motion model for Azerbaijan using temporal earthquake records of 2022–2024

Authors: T. Babayev, G. Babayev, S. Irawan, E. Bayramov

Source: Frontiers in Earth Science, Vol 13 (2025)

Subject Terms: artificial neural network, ground motion model, A&K-1979, Azerbaijan, earthquake records, seismic hazard, Science

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/feart.2025.1571640/full; https://doaj.org/toc/2296-6463

Access URL: https://doaj.org/article/05befd08c06346979ba6151022719170

A hybrid symbolic learning approach for Ground-Motion model Development

Authors: Liu, Xianwei ^a, Chen, Su ^b, Li, Xiaojun ^b, Fu, Lei ^{a, ⁎}, Cotton, Fabrice ^{c, d}

Source: In Journal of Asian Earth Sciences 15 March 2025 281

Residual displacement ground-motion model

Authors: Zengin, Esra ^{a, ⁎}, Bozorgnia, Yousef ^a, Mazzoni, Silvia ^a, Campbell, Kenneth ^b

Source: In Soil Dynamics and Earthquake Engineering March 2025 190

State of the art: Application of machine learning in ground motion modeling

Authors: Alidadi, Najme, Pezeshk, Shahram ^⁎

Source: In Engineering Applications of Artificial Intelligence 1 June 2025 149

A damping scaling factor model for vertical elastic response spectra from subduction earthquakes in offshore and onshore regions of Japan

Authors: Hu, Lei ^a, Li, Yingmin ^{a, ∗}, Pan, Weihao ^a, Yang, Hongwu ^a, Ji, Shuyan ^b

Source: In Soil Dynamics and Earthquake Engineering June 2025 193

Artificial neural network-based ground motion model for next-generation seismic intensity measures

Authors: Aristeidou, Savvinos, Shahnazaryan, Davit, O'Reilly, Gerard J. ^⁎

Source: In Soil Dynamics and Earthquake Engineering September 2024 184

Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach

Authors: Chaibeddra Tani, Fayçal ^{a, ⁎}, Derras, Boumédiène ^{a, b}, Theodoulidis, Nikos ^c, BARD, Pierre Yves ^d

Source: In Soil Dynamics and Earthquake Engineering July 2025 194

Mapping Seismic Hazard for Canadian Sites Using Spatially Smoothed Seismicity Model

Authors: Chao Feng, Han-Ping Hong

Source: International Journal of Disaster Risk Science, Vol 14, Iss 6, Pp 898-918 (2023)

Subject Terms: Adaptive kernel smoothing, Fixed kernel smoothing, Ground motion model, Probabilistic seismic hazard analysis, Seismic hazard map, Uniform hazard spectra, Disasters and engineering, TA495

File Description: electronic resource

Relation: https://doaj.org/toc/2095-0055; https://doaj.org/toc/2192-6395

Access URL: https://doaj.org/article/120f0d8eac3346a29533615224c3d0cf

A simple and flexible bootstrap-based framework to quantify epistemic uncertainty of ground motion models by light gradient boosting machine

Authors: Wen, Tianxing ^a, He, Jianguang ^a, Jiang, Liqiang ^{a, b, ⁎}, Du, Yanliang ^c, Jiang, Lizhong ^{a, b}

Source: In Applied Soft Computing February 2024 152

Linearly combined ground motion model using quadratic programming for low- to mid-size seismicity region: South Korea

Authors: Dongil Jang, Jae-Kwang Ahn, Tae-Woong Kim, Dong Youp Kwak

Source: Frontiers in Earth Science, Vol 10 (2023)

Subject Terms: linear combination, optimized weights, quadratic programming, ground motion model, within-rock records, South Korea, Science

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/feart.2022.1067802/full; https://doaj.org/toc/2296-6463

Access URL: https://doaj.org/article/75fcdcb8384a4d5182bab8b43f75f0e4

A Spatially Varying Ground Motion Model with an Evolving Energy Spectrum

Authors: Han Qin, Luyu Li

Source: Buildings, Vol 12, Iss 11, p 1891 (2022)

Subject Terms: spatially varying ground motion, ground motion model, power spectrum amplitude variability, SMART 1 array, power spectrum similarity, Building construction, TH1-9745

File Description: electronic resource

Relation: https://www.mdpi.com/2075-5309/12/11/1891; https://doaj.org/toc/2075-5309

Access URL: https://doaj.org/article/b94587fdad384cb18111faaf65d05735

An Empirical Model to Account for Spectral Amplification of Pulse-Like Ground Motion Records

Authors: Sara Sgobba, Giovanni Lanzano, Francesca Pacor, Chiara Felicetta

Source: Geosciences, Vol 11, Iss 1, p 15 (2020)

Subject Terms: near-fault directivity, pulse-like records, ground-motion model, strong-motion database, Geology, QE1-996.5

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3263/11/1/15; https://doaj.org/toc/2076-3263

Access URL: https://doaj.org/article/b8097e9ef2a743369d14a7bb32772a4a

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