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ANN-based Ground Motion Model for Tabriz Region

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Acknowlegement:

This work was partly financed by FCT / MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB / 04029/2020 (doi.org/10.54499/UIDB/04029/2020), and under the Associate Laboratory Advanced Production and Intelligent Systems (ARISE) under reference LA/P/0112/2020. This study has been partly funded by the STAND4HERITAGE project that has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 833123), as an Advanced Grant. This work is partly financed by national funds through FCT (Foundation for Science and Technology), under grant agreement UI/BD/153379/2022 attributed to the second author


Reference:
kindly cite below if used for any formal study:

1. ANN-based Ground Motion Model for Tabriz Region DOI: https://doi.org/10.5281/zenodo.13939496

2. Seismic Scenario Simulation and ANN-based Ground Motion Model Development on the North Tabriz Fault in Northwest Iran DOI: https://doi.org/10.1007/s10950-024-10264-x

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Tabriz machine learning ground motion model web app

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