Suchergebnisse - Involution autoencoder

Involution-based efficient autoencoder for denoising histopathological images with enhanced hybrid feature extraction von Islam, Md. Farhadul, Reza, Md. Tanzim, Manab, Meem Arafat, Zabeen, Sarah, Islam, Md. Fahim-Ul, Shahriar, Md. Fahim, Kaykobad, Mohammad, Husna, Md. Golam Zel Asmaul, Noor, Jannatun

“… Noise in histopathology images from hardware limitations, preparation artifacts, and environmental factors complicates disease analysis and increases risks …”
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Involution Based Speech Autoencoder: Investigating the Advanced Vision Operator Performance on Speech Feature Extraction von Zhong, Tianle, Velazquez, Israel Mendoza, Haneda, Yoichi

“… 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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Dynamic feature capturing in a fluid flow reduced-order model using attention-augmented autoencoders von Beiki, Alireza, Kamali, Reza

“… 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 von Russkikh, Nikolai E, Antonets, Denis V, Shtokalo, Dmitry N, Makarov, Alexander V, Zakharov, Alexey M, Terentev, Evgeny V

“… 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 von Xiang, Sheng, Qin, Yi, Luo, Jun, Wu, Fei, Gryllias, Konstantinos

“… 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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