Results 71 to 80 of about 16,479 (201)
Accelerated water residual removal in MRS: Exploring deep learning versus fitting‐based approaches
Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 38-50, January 2026.Abstract PurposeRemoving water residual signals from MRS spectra is crucial for accurate metabolite quantification. However, currently available algorithms are computationally intensive and time‐consuming, limiting their clinical applicability. This work aims to propose and validate two novel pipelines for fast water residual removal in MRS. MethodsTwo
Federico Turco +2 more
wiley +1 more source
A staggered eigensolver based on sparse matrix bidiagonalization
EPJ Web of Conferences, 2018 We present a method for calculating eigenvectors of the staggered Dirac operator based on the Golub-Kahan-Lanczos bidiagonalization algorithm. Instead of using orthogonalization during the bidiagonalization procedure to increase stability, we choose to ...
Osborn James C., Jin Xiao-Yong
doaj +1 more source
The impact of Arctic sea‐ice loss on winter weather in the British Isles
Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 774, January 2026 Part A.Arctic sea‐ice loss shifts the North Atlantic jet and storm track equatorward, and results in a more negative North Atlantic Oscillation and more positive East Atlantic and Scandinavian patterns. Strong extratropical cyclones weaken and become less frequent for the British Isles, but there is model disagreement for precipitation, surface winds, and ...
Stephanie Hay +7 more
wiley +1 more source
Image Super-Resolution Via Wavelet Feature Extraction and Sparse Representation [PDF]
Radioengineering, 2018 This paper proposes a novel Super-Resolution (SR) technique based on wavelet feature extraction and sparse representation. First, the Low-Resolution (LR) image is interpolated employing the Lanczos operation. Then, the image is decomposed into sub-bands (
V. Alvarez-Ramos +2 more
doaj
Wasit Journal of Engineering Sciences, 2013 This paper presents a subspace method of spot centroiding algorithm for locating the centers of laser spots. It focuses on how to find the position of the activated pixel which is the position of the imaged spot on the detector of the camera using ...
Azad Raheem Kareem
doaj +1 more source
Zero-sample mural superresolution reconstruction for enhanced perceptual quality
Heritage Science, 2023 Aiming at the problem of texture loss and poor perceptual quality in low-resolution mural images, this paper proposes a zero-sample mural superresolution reconstruction method called EPZSSR to enhance perceptual quality, and the specific model is ...
Jianfang Cao, Xiaohui Hu, Yun Tian
doaj +1 more source
Journal of Geophysical Research: Oceans, Volume 131, Issue 1, January 2026.Abstract The ocean beneath ice shelves plays a critical role in their evolution and resilience. Despite this, direct observations of circulation within ice shelf cavities remain scarce. Here, we examine 4.5 years of moored hydrographic data (2018–2022) from the HWD2 borehole, which represent the first multi‐year measurements of currents, temperature ...
Yingpu Xiahou +3 more
wiley +1 more source
Spherical Lanczos Interpolation in Planar Projection or Format Conversions of Panoramic Videos
IEEE Access, 2020 Panoramic videos provide users with an amazing experience with immersive and interactive viewing, and are now gaining global popularity. Since panoramic videos are spherical in nature while effectively processed in planar projection formats in ...
Saiping Zhang +3 more
doaj +1 more source
IET Software, Volume 2026, Issue 1, 2026.This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability. This study addresses MRI image processing issues such as noise, artifacts, and high‐quality reconstruction. These traits are essential for brain tumor detection and analysis.
N. Sashi Prabha +2 more
wiley +1 more source
An implementation of the look-ahead Lanczos algorithm for non-Hermitian matrices [PDF]
The nonsymmetric Lanczos method can be used to compute eigenvalues of large sparse non-Hermitian matrices or to solve large sparse non-Hermitian linear systems.
Freund, Roland W. +2 more
core +1 more source