Works matching IS 15694445 AND DT 2024 AND VI 22 AND IP 3
Results: 10
Issue Information.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 279, doi. 10.1002/nsg.12305
- Publication type:
- Article
Gravity modelling by using vertical prismatic polyhedra and application to a sedimentary basin in Eastern Anatolia.
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- Near Surface Geophysics, 2024, v. 22, n. 3, p. 383, doi. 10.1002/nsg.12297
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- Article
Multi‐mode non‐linear inversion of Rayleigh wave dispersion curves with grey wolf optimization and cuckoo search algorithm.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 323, doi. 10.1002/nsg.12296
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- Article
Analysis of legacy gravity data reveals sediment‐filled troughs buried under Flathead Valley, Montana, USA.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 402, doi. 10.1002/nsg.12295
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- Publication type:
- Article
Tunnel resistivity deep learning inversion method based on physics‐driven and signal interpretability.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 372, doi. 10.1002/nsg.12294
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- Publication type:
- Article
Characterizing shallow fault zones by integrating profile, borehole and array measurements of seismic data and distributed acoustic sensing.
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- Near Surface Geophysics, 2024, v. 22, n. 3, p. 298, doi. 10.1002/nsg.12293
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- Publication type:
- Article
Efficient and high‐resolution surface‐wave dispersive energy imaging using a proposed spatial smoothing propagation method.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 313, doi. 10.1002/nsg.12291
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- Article
Investigating soil layers with ground penetrating radar in the modern Yellow River Delta of China.
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- Near Surface Geophysics, 2024, v. 22, n. 3, p. 339, doi. 10.1002/nsg.12289
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- Publication type:
- Article
ERT data assimilation to characterize aquifer hydraulic conductivity heterogeneity through a heat‐tracing experiment.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 358, doi. 10.1002/nsg.12288
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- Publication type:
- Article
Prediction of S‐wave velocity models from surface waves using deep learning.
- Published in:
- Near Surface Geophysics, 2024, v. 22, n. 3, p. 281, doi. 10.1002/nsg.12284
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- Article