A Temporal Downscaling Model for Gridded Geophysical Data with Enhanced Residual U-Net

L Wang, Q Li, X Peng, Q Lv - Remote Sensing, 2024 - mdpi.com
… For example, 3D U-Nets have been developed to process … Upon removing the multi-scale
features, we observed a … in other domains requiring high-fidelity downscaling, providing …

Attention-based generative neural image compression on solar dynamics observatory

A Zafari, A Khoshkhahtinat, PM Mehta… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
… (HMI) was created to investigate oscillations and the magnetic field at the solar surface, or …
takes full-sun images (1.3 solar diameters) of the solar corona at a spatial resolution of near 1 …

Explosive hazard pre-screener based on simulated data with perfect annotation and imprecisely labeled real data

M Kovaleski, A Fuller, J Kerley, BJ Alvey… - Chemical …, 2022 - spiedigitallibrary.org
… of objects that are not observed in an existing data collection. … We selected U-Nets for the
following reasons. First, they can … Most importantly, high fidelity custom dynamic scenes can be …

Deep regression for imaging solar magnetograms using pyramid generative adversarial networks

R Alshehhi - Proceedings of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
uses PatchGAN to learn local and global structure from hierarchical input data. Its ability to
generate bipolar structure of solarUsing U-Nets to Create High-Fidelity Virtual Observations

Neural-based Compression Scheme for Solar Image Data

A Zafari, A Khoshkhahtinat, JA Grajeda… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
… of this algorithm in SDO data analysis, we have performed coronal hole (CH) detection using
our compressed … Using U-Nets to create high-fidelity virtual observations of the solar corona

[HTML][HTML] Magnetic grid resolution enhancement using machine learning: A case study from the Eastern Goldfields Superterrane

L Smith, T Horrocks, EJ Holden, D Wedge… - Ore Geology Reviews, 2022 - Elsevier
… Geophysical rasters are created through a process of survey point sampling, grid interpolation,
and usually … Using U-nets to create high-fidelity virtual observations of the solar corona

sCT and Dose Calculation

E Alvarez-Andres, F Villegas, A Barateau… - A Practical Guide to MR …, 2024 - Springer
… of high-fidelity, artefact-free MR images, and the ability to … segmentation network combining
U-Nets of different depths. For … Frequency shifts in the echo signal can thus be observed as …

Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery

A Zafari, A Khoshkhahtinat, PM Mehta… - 2023 International …, 2023 - ieeexplore.ieee.org
Solar Dynamics Observatory (SDO) is a recently designated space mission to study the
atmosphere of the Sun by observing it continuously. SDO carries Atmospheric Imaging Assembly …

Methodologies to Improve Fidelity and Reliability of Deep Learning Models for Real-World Deployment

VS Narayanaswamy - 2023 - search.proquest.com
… Comparing the Convergence of Our Audio Prior to U-nets Based on Har- monic … high-fidelity
recovery under data-scarce scenarios. Consequently, typical solutions often rely on the use

[图书][B] Multimodal Deep Generative Models for Cross-Spectral Image Analysis

CY Ordun - 2023 - search.proquest.com
… We have observed some trends across databases that if addressed in the development of
a single high-fidelity dataset, may carve a path for greater adoption of thermal AI FER studies. …