Results 41 to 50 of about 612 (172)

Microbial endolithic community at Meteor Crater

Meteoritics &Planetary Science, Volume 61, Issue 6, Page 955-962, June 2026.
Abstract Postimpact recovery and evolution in response to climate changes produced a modern ecosystem at Meteor Crater dominated by a grassland and woodland of piñon and juniper, which has been used to evaluate floral and megafaunal consequences of impact cratering during the Phanerozoic Eon of complex life.
David A. Kring, Charles S. Cockell
wiley   +1 more source

Multiscale dilated denoising convolution with channel attention mechanism for micro-seismic signal denoising

Journal of Petroleum Exploration and Production Technology
Denoising micro-seismic signals is paramount for ensuring reliable data for localizing mining-related seismic events and analyzing the state of rock masses during mining operations.
Jianxian Cai, Zhijun Duan, Li Wang, Juan Meng, Zhenjing Yao   +4 more
doaj   +1 more source

A Physics-Informed Neural Network Framework for Seismic Signal Denoising Based on Time–Frequency Adaptive Decomposition

Applied Sciences
Seismic signal denoising stands as a vital process that enables precise seismic data analysis because noise interference blocks the detection of weak but valuable seismic signals.
Qinghua Zhang, Miantao Zhang, Houle Zhang, Yongxin Wu, Yanjie Zhang   +4 more
doaj   +1 more source

Optical Fiber Sensors for Safety and Maintenance Monitoring of Linear Infrastructure

Advanced Sensor Research, Volume 5, Issue 5, May 2026.
This review rigorously provides a thorough and detailed overview of the most recent innovations and advancements in the field of railway and pipeline infrastructure monitoring, accomplished through the implementation of cutting‐edge fiber sensing technologies, with a specific emphasis on its two principal technical branches, namely multipoint sensing ...
Shengnan Wu, Yue Cao, Xiaokun Qian, Jianling Wu, Armando Laudati, Vincenzo Romano Marrazzo, Maria Alessandra Cutolo, Giovanni Breglio, Andrea Cusano, Antonello Cutolo, Sailing He   +10 more
wiley   +1 more source

Dictionary Learning with Convolutional Structure for Seismic Data Denoising and Interpolation

Geophysics, 2021
Seismic data inevitably suffers from random noise and missing traces in field acquisition. This limits the utilization of seismic data for subsequent imaging or inversion applications. Recently, dictionary learning has gained remarkable success in seismic data denoising and interpolation.
Murad Almadani, Umair bin Waheed, Mudassir Masood, Yangkang Chen   +3 more
openaire   +2 more sources

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

Efficient Seismic Denoising Transformer with Gradient Prediction and Parameter-Free Attention [PDF]

Jisuanji kexue yu tansuo
Suppression of random noise can effectively improve the signal-to-noise ratio (SNR) of seismic data. In recent years, convolutional neural network (CNN)-based deep learning methods have shown significant performance in seismic data denoising.
GAO Lei, QIAO Haowei, LIANG Dongsheng, MIN Fan, YANG Mei
doaj   +1 more source

Total Variation Regularized GRACE(‐FO) Inversion

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Gravity estimation from satellite‐satellite tracking missions such as GRACE(‐FO) is an ill‐posed inverse problem. The conventional approach to regularized inversion of GRACE(‐FO) measurements uses L2 ${L}_{2}$‐Tikhonov regularization with a heuristic constraint matrix derived based on knowledge of spatiotemporal distribution of the signal ...
G. Jacob, S. Bettadpur, H. Save, P. Nagel, F. Wang   +4 more
wiley   +1 more source

An Attention-Based Residual Neural Network for Efficient Noise Suppression in Signal Processing

Applied Sciences, 2023
The incorporation of effective denoising techniques is a crucial requirement for seismic data processing during the acquisition phase due to the inherent susceptibility of the seismic data acquisition process to various forms of interference, such as ...
Tianwei Lan, Liguo Han, Zhaofa Zeng, Jingwen Zeng   +3 more
doaj   +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