Results 11 to 20 of about 1,600,748 (340)
Error-Bounded Learned Scientific Data Compression with Preservation of Derived Quantities
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
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]
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]
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
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]
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 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]
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]
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