Articles with "samples deep" as a keyword



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Determination of microcystins in water samples by deep eutectic solvent-based vortex-assisted liquid–liquid microextraction coupled with ultrahigh-performance liquid chromatography-high resolution mass spectrometry

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Published in 2019 at "RSC Advances"

DOI: 10.1039/c9ra07544e

Abstract: An eco-friendly and efficient DES-based VALLME coupled UHPLC-ESI(+)-qTOF-MS method was developed to determine MC-YR and MC-LR in surface water samples. read more here.

Keywords: determination microcystins; liquid; microcystins water; water samples ... See more keywords

Learning with few samples in deep learning for image classification, a mini-review

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Published in 2023 at "Frontiers in Computational Neuroscience"

DOI: 10.3389/fncom.2022.1075294

Abstract: Deep learning has achieved enormous success in various computer tasks. The excellent performance depends heavily on adequate training datasets, however, it is difficult to obtain abundant samples in practical applications. Few-shot learning is proposed to… read more here.

Keywords: samples deep; classification; learning samples; deep learning ... See more keywords