Results 11 to 20 of about 1,600,748 (340)

Error-Bounded Learned Scientific Data Compression with Preservation of Derived Quantities

open access: yesApplied Sciences, 2022
Scientific applications continue to grow and produce extremely large amounts of data, which require efficient compression algorithms for long-term storage.
Jaemoon Lee   +6 more
doaj   +2 more sources

High-energy few-cycle pulses: post-compression techniques

open access: yesAdvances in Physics: X, 2021
Contemporary ultrafast science requires reliable sources of high-energy few-cycle light pulses. Currently two methods are capable of generating such pulses: post compression of short laser pulses and optical parametric chirped-pulse amplification (OPCPA).
Tamas Nagy, Peter Simon, Laszlo Veisz
doaj   +2 more sources

Physics-Enhanced PCA for Data Compression in Edge Devices [PDF]

open access: greenIEEE Transactions on Green Communications and Networking, 2022
In smart cities, tremendous data are generated with edge devices continuously for scientific applications, such as structural health monitoring (SHM), leading to a high bandwidth burden to edge devices.
Qianyi Chen, Jiannong Cao, Yong Xia
openalex   +2 more sources

A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow [PDF]

open access: greenData Compression Conference, 2022
Analyzing large-scale data from simulations of turbulent flows is memory intensive, requiring significant resources. This major challenge highlights the need for data compression techniques.
Mohammadreza Momenifar   +3 more
semanticscholar   +5 more sources

Self-focusing, compression and collapse of ultrashort weakly-relativistic Laguerre–Gaussian lasers in near-critical plasma

open access: yesJournal of Physics Communications, 2023
Simultaneous self-focusing and compression of ultrashort weakly-relativistic Laguerre–Gaussian laser pulses in dense plasma is investigated theoretically and numerically.
T C Wilson   +3 more
doaj   +2 more sources

UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks [PDF]

open access: greenIEEE International Symposium on Biomedical Imaging, 2019
Ultrasound image compression by preserving speckle-based key information is a challenging task. In this paper, we introduce an ultrasound image compression framework with the ability to retain realism of speckle appearance despite achieving very high ...
Debarghya China   +6 more
semanticscholar   +5 more sources

Infrared attosecond field transients and UV to IR few-femtosecond pulses generated by high-energy soliton self-compression

open access: yesPhysical Review Research, 2020
Infrared femtosecond laser pulses are important tools both in strong-field physics, driving x-ray high-harmonic generation, and as the basis for widely tunable, if inefficient, ultrafast sources in the visible and ultraviolet. Although anomalous material
Christian Brahms   +2 more
doaj   +2 more sources

A Swin-transformer-based model for efficient compression of turbulent flow data [PDF]

open access: yesThe Physics of Fluids, 2023
This study proposes a novel deep-learning-based method for generating reduced representations of turbulent flows that ensures efficient storage and transfer while maintaining high accuracy during decompression.
Meng-Tao Zhang   +3 more
semanticscholar   +1 more source

Data Compression and Inference in Cosmology with Self-Supervised Machine Learning [PDF]

open access: yesMonthly notices of the Royal Astronomical Society, 2023
The influx of massive amounts of data from current and upcoming cosmological surveys necessitates compression schemes that can efficiently summarize the data with minimal loss of information.
Aizhan Akhmetzhanova   +2 more
semanticscholar   +1 more source

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