Výsledky vyhledávání - Involution autoencoder
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Involution-based efficient autoencoder for denoising histopathological images with enhanced hybrid feature extraction
ISSN: 0010-4825, 1879-0534, 1879-0534Vydáno: United States Elsevier Ltd 01.06.2025Vydáno v Computers in biology and medicine (01.06.2025)“…Noise in histopathology images from hardware limitations, preparation artifacts, and environmental factors complicates disease analysis and increases risks…”
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Journal Article -
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Involution Based Speech Autoencoder: Investigating the Advanced Vision Operator Performance on Speech Feature Extraction
Vydáno: IEEE 12.10.2021Vydáno v 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) (12.10.2021)“… Although the involution operator has achieved great success in vision recognition, the use of the involution operator in speech tasks has not been…”
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Konferenční příspěvek -
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Dynamic feature capturing in a fluid flow reduced-order model using attention-augmented autoencoders
ISSN: 0952-1976Vydáno: Elsevier Ltd 01.06.2025Vydáno v Engineering applications of artificial intelligence (01.06.2025)“…This study looks into how adding adaptive attention to convolutional autoencoders can help reconstruct flow fields in fluid dynamics applications…”
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Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis
ISSN: 2692-8205, 2692-8205Vydáno: Cold Spring Harbor Cold Spring Harbor Laboratory Press 03.10.2019Vydáno v bioRxiv (03.10.2019)“…The transcriptomic data is being frequently used in the research of biomarker genes of different diseases and biological states. Generally, researchers have…”
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A concise self-adapting deep learning network for machine remaining useful life prediction
ISSN: 0888-3270, 1096-1216Vydáno: Elsevier Ltd 15.05.2023Vydáno v Mechanical systems and signal processing (15.05.2023)“… First, a multi-branch 1D involution neural network (MINN) is proposed to adaptively extract the hidden feature from the multi-input using the involution operation, which has inverse inherence with the convolution operation…”
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Journal Article