Results 51 to 60 of about 4,760 (175)

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

Geophysical Investigations of the Fujairah Basin, East Coast of United Arab Emirates: Insights Into Tectonic Evolution

Journal of Geophysical Research: Solid Earth, Volume 130, Issue 4, April 2025.
Abstract The Fujairah basin in the Gulf of Oman experienced a complex tectonic evolution related to Late Cretaceous ophiolite obduction and Oligocene‐Miocene Zagros continental collision. The structure of the foreland basin in Oman‐UAE is well‐known, but the structure and evolution of the hinterland basin behind the obducted ophiolite and underlying ...
M. Y. Ali, M. Ismaiel, A. Abdelmaksoud, S. Pilia, A. B. Watts, M. P. Searle   +5 more
wiley   +1 more source

Curvelet transform for Boehmians

Arab Journal of Mathematical Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Subash Moorthy Rajendran, Roopkumar Rajakumar   +1 more
openaire   +2 more sources

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

Quantum algorithms using the curvelet transform [PDF]

Proceedings of the forty-first annual ACM symposium on Theory of computing, 2009
64 pages, 4 figures; improved algorithm and lower bound for finding the center of a radial function; revised presentation; to appear in STOC ...
openaire   +3 more sources

Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing

Earth and Space Science, Volume 12, Issue 3, March 2025.
Abstract Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals.
Jingchuan Wang, Nicholas C. Schmerr, Vedran Lekić, Jacob Giles, Linden Wike, Austin Hoyle, Ernest Robert Bell, Naoma McCall, Jacob A. Richardson, Patrick Whelley, John D. West, Shannon Rees, Casey Braccia, Caela Barry, Jose M. Hurtado, Tara Sweeney, Nohemi Valenzuela   +16 more
wiley   +1 more source

Multimodal Biometrics: A Review of Handcrafted and AI–Based Fusion Approaches

IET Biometrics, Volume 2025, Issue 1, 2025.
As security threats continue to evolve, multimodal biometric recognition systems (MBRSs) have emerged as robust solutions for reliable user authentication. To the best of our knowledge, this study presents the first systematic literature review (SLR) specifically focused on MBRS based on physiological traits, combining traditional image processing ...
Hind Es-Sobbahi, Mohamed Radouane, Khalid Nafil, Vincenzo Conti   +3 more
wiley   +1 more source

Detection and Characterisation of Atypical Harmonic Patterns in Big Power Quality Data

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper proposes a new algorithm to identify and assess properties of atypical harmonic patterns in long‐term monitoring data adaptively. The well‐known challenges of field application, such as data accuracy validation, missing data handling, adaptability to dynamic data nature (seasonality and trends), and data mining results interpretation, are ...
Olga Zyabkina, Max Domagk, Jan Meyer, Peter Schegner, Marco Lindner, Heiko Mayer, Christoph Butterer   +6 more
wiley   +1 more source

Sparse representation for restoring images by exploiting topological structure of graph of patches

IET Image Processing, Volume 19, Issue 1, January/December 2025.
To elevate sparse representation learning, this study leverages a graph learning model to delineate similarity relationships among image patches, utilizing this model for the initial image reconstruction phase. To capitalize on inter‐patch relationships while preserving individual patch characteristics, low‐rank constraints are integrated during the ...
Yaxian Gao, Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Xiaoke Ma   +5 more
wiley   +1 more source

An Unsupervised Image Enhancement Method Based on Adaptation Region Divisions

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper proposes an image enhancement method that combines traditional techniques with deep learning. It converts images to Lab color space, calculates texture complexity, adaptation region divisions and uses a convolutional autoencoder for noise reduction.
Kaijun Zhou, Weiyi Yuan, Yemei Qin
wiley   +1 more source