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Neural Network-Based Prediction of Amplification Factors for Nonlinear Soil Behaviour: Insights into Site Proxies
Published 2025-03-01“…The best parameter pair is (<i>PGA</i>; resonance frequency, <i>f</i><sub>0</sub>), which leads to a standard deviation reduction of at least 65%. For improved performance, we propose the practical triplet <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mfenced separators="|"><mrow><msub><mrow><mi>P</mi><mi>G</mi><mi>A</mi><mo>;</mo><mi>V</mi></mrow><mrow><mi>s</mi><mn>30</mn></mrow></msub><mo>;</mo><msub><mrow><mi>f</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></mfenced></mrow></semantics></math></inline-formula> with <i>V<sub>s</sub></i><sub>30</sub> being the average shear wave velocity within the upper 30 m of soil below the foundation. …”
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Food grade nanostructures of pumpkin leaves protein/pullulan blend as a potential carrier for cobalamin
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation
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ML-Driven Energy Savings for Cellular Baseband Units via Traffic Prediction
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A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques
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Methods for Predicting the Costs of Maintaining Nuclear Heritage Facilities in а Safe State
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Sidewalk thermal comfort in street canyon and role of pavements under perpendicular sun rays during summer
Published 2024-10-01Get full text
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