Results 41 to 50 of about 4,173 (187)

Non-Parametric Simultaneous Reconstruction and Denoising via Sparse and Low-Rank Regularization

Frontiers in Earth Science, 2022
Spatial irregular sampling and random noise are two important factors that restrict the accuracy of seismic imaging. Seismic wavefield reconstruction and denoising based on sparse representation are two popular antidotes to these two inevitable issues ...
Lingjun Meng, Zhanzhan Shi, Zhanzhan Shi, Yan Ye, Yuanjun Wang, Yuanjun Wang   +5 more
doaj   +1 more source

Methods for Large Scale Hydraulic Fracture Monitoring

, 2013
In this paper we propose computationally efficient and robust methods for estimating the moment tensor and location of micro-seismic event(s) for large search volumes. Our contribution is two-fold.
Aeron, Shuchin, Ely, Gregory
core   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, Volume 13, Issue 26, 8 May 2026.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

Fault Volume Digital Twin to Reproduce the Full Slip Spectrum, Scaling, and Statistical Laws

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Seismological and geodetic observations of fault zones reveal diverse slip dynamics, scaling, and statistical laws. Existing mechanisms explain some but not all of these behaviors. We show that incorporating an off‐fault damage zone—characterized by distributed fractures surrounding a main fault—can reproduce many key features observed in ...
M. Almakari, N. Kheirdast, C. Villafuerte, M. Y. Thomas, P. Dubernet, J. Cheng, A. Gupta, P. Romanet, S. Chaillat, H. S. Bhat   +9 more
wiley   +1 more source

An adaptive parameter-free seismic data denoising approach by combining general cross-validation thresholding and pixel connectivity in synchrosqueezed domain

Earth, Planets and Space
High signal-to-noise ratio (SNR) seismic waveform data are conductive to various studies in seismology. Seismic denoising aims to enhance SNR by eliminating additive noise through signal processing while preserving important features of the seismic ...
Zhiyi Zeng, Peng Han, Wei Zhang, Yong Zhou, Xubiao Deng, Da Zhang, Yaqian Shi, Ying Chang, Hu Ji, Rui Dai, Jianzhong Zhang   +10 more
doaj   +1 more source

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising

IEEE Access
This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus on two challenges: optimal spike encoding strategy adaptation for
Shuna Chen, Zhege Liu, Ziyu Qin, Xinyi Liu, Yajuan Xue, Junxing Cao   +5 more
doaj   +1 more source

Outlier Denoising Using a Novel Statistics-Based Mask Strategy for Compressive Sensing

Remote Sensing, 2023
Denoising is always an important step in seismic processing, in order to produce high-quality data for subsequent imaging and inversion. Different types of noise can be suppressed using targeted denoising methods.
Weiqi Wang, Jidong Yang, Jianping Huang, Zhenchun Li, Miaomiao Sun   +4 more
doaj   +1 more source

Hybrid Deterministic-Stochastic Methods for Data Fitting

, 2011
Many structured data-fitting applications require the solution of an optimization problem involving a sum over a potentially large number of measurements.
Kumar S., Mark Schmidt, Michael P. Friedlander, Nedic A., Sang E., Vishwanathan S. V. N.   +5 more
core   +4 more sources

Investigating the Detectability of Body Wave Phases From Tidal Ice Cracking Events on Titan With the Dragonfly Short‐Period Seismometer

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Detecting seismic activity on Saturn's icy moon Titan during the Dragonfly mission could provide crucial information on its internal structure. The geological complexity of the moon's surface suggests significant cyclic tidal deformation, likely leading to the fracturing of the ice shell.
L. Delaroque, T. Kawamura, A. Lucas, S. Rodriguez, K. Onodera, H. Shiraishi, R. Yamada, S. Tanaka, M. P. Panning, R. D. Lorenz   +9 more
wiley   +1 more source

FocoNet: Transformer‐Based Focal‐Mechanism Determination

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Traditional focal‐mechanism determination primarily relies on fitting the first‐motion polarities with grid‐search algorithms. We developed a machine‐learning model, FocoNet, to include more seismic information into focal mechanism determination.
Xiaohan Song, Men‐Andrin Meier, William L. Ellsworth, Gregory C. Beroza   +3 more
wiley   +1 more source