Results 81 to 90 of about 200,528 (240)
Abstract Failure of buried pipelines can result in serious impacts, such as explosions, environmental contamination, and economic losses. Early detection and location of unexpected events is crucial to prevent such events. However, conventional monitoring methods exhibit limited generalization performance under varying environmental and operational ...
Sun‐Ho Lee+2 more
wiley +1 more source
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane+2 more
core +3 more sources
Bilinear and Bicubic Interpolations for Image Presentation of Mechanical Stress and Temperature Distribution [PDF]
Manikanta B. Pithani+2 more
openalex +1 more source
Deciphering the performance of different surface models for corneal topography
Abstract Purpose To study the performance of different corneal surface models to be used for ray tracing. Models based on geometric surfaces and polynomial fits were compared and the differences discussed. Methods For this simulation study, five characteristic generic surface configurations were generated: (A) perfect biconic, (B) decentred biconic ...
Achim Langenbucher+4 more
wiley +1 more source
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Convolutional neural networks have recently demonstrated high-quality reconstruction for single-image super-resolution. In this paper, we propose the Laplacian Pyramid Super-Resolution Network (LapSRN) to progressively reconstruct the sub-band residuals ...
Ahuja, Narendra+3 more
core +1 more source
Range-Restricted Surface Interpolation Using Rational Bi-Cubic Spline Functions With 12 Parameters
This paper discusses the constraint data interpolation or range restricted interpolation for surface data arranges on rectangular meshes that lie above or below an arbitrary plane and between two arbitrary planes by using partially blended rational bi ...
Samsul Ariffin Abdul Karim+2 more
doaj +1 more source
X‐ray CT metal artifact reduction using neural attenuation field prior
Abstract Background The presence of metal objects in computed tomography (CT) imaging introduces severe artifacts that degrade image quality and hinder accurate diagnosis. While several deep learning‐based metal artifact reduction (MAR) methods have been proposed, they often exhibit poor performance on unseen data and require large datasets to train ...
Jooho Lee+4 more
wiley +1 more source
Detail-revealing Deep Video Super-resolution
Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results.
Gao, Hongyun+4 more
core +1 more source
Beacon2Science: Enhancing STEREO/HI Beacon Data With Machine Learning for Efficient CME Tracking
Abstract Observing and forecasting coronal mass ejections (CMEs) in real‐time is crucial due to the strong geomagnetic storms they can generate that can have a potentially damaging effect, for example, on satellites and electrical devices. With its near‐real‐time availability, Solar TErrestrial RElations Observatory‐heliospheric imagers (STEREO/HI ...
J. Le Louëdec+3 more
wiley +1 more source
Abstract Present‐day ice‐mass changes in Antarctica typically deform the solid Earth elastically, and this signal needs removing from Global Positioning System (GPS) observations of displacement before they can be used to constrain models of glacial isostatic adjustment.
Grace A. Nield+6 more
wiley +1 more source