2022
DOI: 10.1007/s13369-022-06587-x
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DeepComp: A Hybrid Framework for Data Compression Using Attention Coupled Autoencoder

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Cited by 6 publications
(1 citation statement)
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“…AE based compression of scientific data has shown promising results for multiple fields of study such as meteorology, cosmology, computational fluid dynamics, crystallography etc. [13][14][15][16][17][18][19]. The use of AEs for data compression in High Energy Physics (HEP) has also shown promising results in previous studies [20][21][22][23].…”
Section: Autoencoders For Lossy Data Compressionmentioning
confidence: 99%
“…AE based compression of scientific data has shown promising results for multiple fields of study such as meteorology, cosmology, computational fluid dynamics, crystallography etc. [13][14][15][16][17][18][19]. The use of AEs for data compression in High Energy Physics (HEP) has also shown promising results in previous studies [20][21][22][23].…”
Section: Autoencoders For Lossy Data Compressionmentioning
confidence: 99%