Cover Image

A Sampling Strategy Benchmark for Machine-Learning-Based Seismic Liquefaction Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Jilei, He, Fenglin, Huang, Lianming, Wang, Qianfeng
Format:	Preprint
Published:	2025
Subjects:	Geophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implementation of Machine Learning Algorithms for Seismic Events Classification
by: Kassa, Alemayehu Belay, et al.
Published: (2025)

Exploration of Machine Learning Methods to Seismic Event Discrimination in the Pacific Northwest
by: Kharita, Akash, et al.
Published: (2025)

Unsupervised Posterior Sampling for Seismic Data Recovery via Score-Based Generative Priors
by: Meng, Chuangji, et al.
Published: (2025)

Variability in Performance of a Machine-Learning Seismicity Catalog: Central Italy, 2016-2017
by: Chung, Jaehong, et al.
Published: (2026)

Machine Learning and Seismic Attributes for Petroleum Prospect Generation and Evaluation: An Example from Offshore Australia
by: Farfour, Mohammed, et al.
Published: (2024)

Differentiable Graph Neural Network Simulator for the Back-Analysis of Post-Liquefaction Residual Strength from Flow Failure Runout
by: Choi, Yongjin, et al.
Published: (2026)

Evaluating and Explaining Earthquake-Induced Liquefaction Potential through Multi-Modal Transformers
by: Youwai, Sompote, et al.
Published: (2025)

Joint Reconstruction of Two‐Component Seismic Data Based on Compressed Sensing and Complex Curvelet Transform
by: Wangyang Wang, et al.
Published: (2025)

A Physics‐Guided Deep Learning Workflow for Partial‐Stack Seismic Inversion
by: Haibin Di, et al.
Published: (2025)

Deep Learning-Based 3D Seismic Velocity Inversion Under Dual-Domain Sparse Representation
by: Chen, Guoxin, et al.
Published: (2026)

Predicting the Future Performance of the Planned Seismic Network in Mainland China
by: Li, Jiawei, et al.
Published: (2022)

Vulnerability Liquefaction Mapping in Padang City Based on Cloud Computing Using Optical Satellite Imagery Data
by: Razi, Pakhrur, et al.
Published: (2025)

A Glitch Detection and Removal Method for Three‐Component Seismic Data From Mars Based On Deep Learning
by: Jiangjie Zhang, et al.
Published: (2025)

MAE-GAN: A Novel Strategy for Simultaneous Super-resolution Reconstruction and Denoising of Post-stack Seismic Profile
by: Yu, Wenshuo, et al.
Published: (2024)

Seismic Traveltime Tomography with Label-free Learning
by: Wang, Feng, et al.
Published: (2024)

Coherent Source Subsampling: A Data-Driven Strategy for Restoring Causal-Acausal Symmetry in Ambient Seismic Wavefield Correlations
by: Bajad, Sanket Narayan, et al.
Published: (2025)

Dictionary Learning with Convolutional Structure for Seismic Data Denoising and Interpolation
by: Almadani, Murad, et al.
Published: (2024)

Physics-Based Seismic Hazard and Risk Assessment: A New Paradigm for Earthquake Forecasting
by: Zaccagnino, Davide, et al.
Published: (2026)

Modeling Seismic Wave Propagation in TTI Media Using Residual Perfectly Matched Layer
by: Luo, Yuqin, et al.
Published: (2024)

SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025)

Accurate Seismic Data Interpolation With Multi‐Band‐Assisted Deep Learning
by: Xueyi Sun, et al.
Published: (2025)

Workflow for Volumetric Uncertainty and Sensitivity Analysis of Machine Learning‐Interpreted Seismic Horizons at the Smeaheia CO 2 Project Site
by: Min Je Lee, et al.
Published: (2026)

3D Deep Learning Joint Inversion of Active Seismic Full Waveform and Passive Seismic Traveltime Data for Reservoir Imaging and Uncertainty Quantification
by: Evan Schankee Um, et al.
Published: (2026)

Seismic migration of water‐bottom‐related multiples accelerated by random phase‐encoding strategy
by: Yanbao Zhang, et al.
Published: (2024)

Seismic Attribute‐Oriented Post‐Stack Seismic Inversion
by: Ying Lin, et al.
Published: (2026)

Exploring Seismic Signal Detection and Source Identification of Atmospheric Entries: The Hayabusa2 Sample Return Capsule as a Benchmark
by: Clemente, Iona, et al.
Published: (2025)

Heterogeneous Seismic Waves Pattern Recognition in Oil Exploration with Spectrum Imaging
by: Wang, Yuyang
Published: (2024)

A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
by: Sanger, Morgan D., et al.
Published: (2026)

Seismic resolution enhancement via deep Learning with Knowledge Distillation and Domain Adaptation
by: Cai, Hanpeng, et al.
Published: (2025)

Waveform-Based Probabilistic Seismic Hazard Analysis Using Ground-Motion Generative Models
by: Matsumoto, Yuma, et al.
Published: (2025)

Seismic Traveltime Inversion with Quantum Annealing
by: Nguyen, Hoang Anh, et al.
Published: (2024)

Encoding the Subsurface in 3D with Seismic
by: Lasscock, Ben, et al.
Published: (2024)

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks
by: Zhang, Xin, et al.
Published: (2024)

Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
by: Qu, Luping, et al.
Published: (2024)

Seismic Random Noise Attenuation via Channel Attention‐Weighted Unsupervised Deep Learning
by: Yuting Wang, et al.
Published: (2026)

A Review of Modeling and Waveform Inversion for Marine Seismic Data
by: Chen, Guoxin
Published: (2026)

Self-Supervised Diffusion Model for 3-D Seismic Data Reconstruction
by: Wang, Xinyang, et al.
Published: (2024)

Seismic structure of the crust in the western Dominican Republic
by: Nunez, Diana, et al.
Published: (2024)

The Jalisco Seismic Accelerometric Telemetric Network (RESAJ)
by: Cornu, Francisco Javier Nunez, et al.
Published: (2024)

Target-Enclosed Least-Squares Seismic Imaging
by: Shoja, Aydin, et al.
Published: (2023)