Results 41 to 50 of about 1,028 (168)

A Comprehensive Survey on Concrete Crack Detection

Shock and Vibration, Volume 2026, Issue 1, 2026.
Concrete structures form the backbone of modern civil infrastructures, yet they are inherently susceptible to cracking over time due to mechanical stress, environmental exposure, and aging. Undetected cracks can escalate into catastrophic structural failures, making timely inspection critical.
Md. Siam Ansary, José J. Rangel-Magdaleno   +1 more
wiley   +1 more source

Implicit Neural Representations for Unsupervised Seismic Data Interpolation From Single Gather

Geophysical Prospecting, Volume 73, Issue 9, November 2025.
ABSTRACT Missing seismic traces from data acquisition limits often significantly degrade data quality. This study presents an unsupervised method using implicit neural representation (INR), specifically sinusoidal representation network (SIREN), to enhance seismic data quality from a single shot gather.
Ganghoon Lee, Snons Cheong, Yunseok Choi
wiley   +1 more source

Multivariate statistical modeling of images with the curvelet transform [PDF]

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 2006
This paper proposes a theoretical and statistical study to characterize the dependencies of the curvelet coefficients of images across position, scale and orientation. Our study was based on estimated histograms of the marginal and joint distributions to study the statistical properties of curvelet coefficients, and on the mutual information to measure
Larbi Boubchir, Jalal Fadili
openaire   +2 more sources

A Large‐Scale Dataset and Robust Multifeature Representation With Maximum Correlation‐Based Feature Fusion and Matching for Apparel Image Retrieval

Expert Systems, Volume 42, Issue 9, September 2025.
ABSTRACT Finding the correct match to a probe image from a vast amount of data is critical for the online retrieval of apparel images. These images are captured under an uncontrolled environment (e.g., viewpoint and illumination changes); therefore, such type of data is extremely challenging in Content‐Based Image Retrieval (CBIR) research.
Marryam Murtaza, Muhammad Fayyaz, Mussarat Yasmin, Muhammad Anwar, Kashif Naseer Qureshi, Usman Ahmed Raza   +5 more
wiley   +1 more source

FAST DISCRETE CURVELET TRANSFORM BASED ANISOTROPIC FEATURE EXTRACTION FOR IRIS RECOGNITION [PDF]

ICTACT Journal on Image and Video Processing, 2010
The feature extraction plays a very important role in iris recognition. Recent researches on multiscale analysis provide good opportunity to extract more accurate information for iris recognition.
Amol D. Rahulkar, Dattatraya V. Jadhav, Raghunath S. Holambe   +2 more
doaj  

Flow and heat transfer coupling analysis of oil-gas two-phase fluid in clearance of single screw compressor based on fuzzy curvelet finite element method

Case Studies in Thermal Engineering, 2020
In order to analyze the flow and heat transfer coupling rules of oil-gas two-phase fluid in clearance of single screw compressor, the fuzzy curvelet finite element model is constructed based on fuzzy theory, curvelet transform and finite element method ...
Bin Zhao, Haoyang Song, Diankui Gao, Lizhi Xu   +3 more
doaj   +1 more source

Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach

Engineering Reports, Volume 7, Issue 8, August 2025.
Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais   +6 more
wiley   +1 more source

Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM

Dianxin kexue, 2016
In order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and ...
Zhenhong HE
doaj   +2 more sources

Enhanced Hardrock Seismic Imaging Through Multi‐Scale Information‐Guided Unsupervised Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract In hardrock or crystalline rock geological settings, due to low impedance contrast, reflected energy is usually weak. In addition, often stronger surface waves and noncoherent noise are observed including high‐frequency scattering noise, which seriously covers the useful reflection signal. Therefore, imaging of hardrock seismic data with a low
Liuqing Yang, Alireza Malehmir, Magdalena Markovic   +2 more
wiley   +1 more source

Leveraging Optical Anisotropy of the Morpho Butterfly Wing for Quantitative, Stain‐Free, and Contact‐Free Assessment of Biological Tissue Microstructures

Advanced Materials, Volume 37, Issue 12, March 26, 2025.
We leverage the intrinsic optical anisotropy of the Morpho butterfly wing to introduce Morpho‐Enhanced Polarized Light Microscopy (MorE‐PoL), a stain‐ and contact‐free imaging methodology that quantitatively assesses the microstructural properties of fibrous biological tissues.
Paula Kirya, Aida Mestre‐Farrera, Jing Yang, Lisa V. Poulikakos   +3 more
wiley   +1 more source