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Published in 2025 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.70001
Abstract: Classification schemes are a key way of organizing bibliographic knowledge, yet the way that classification schemes communicate their information to classifiers receives little attention. This article takes a novel approach by exploring the visual aspects…
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Keywords:
classification;
classification scheme;
visual elements;
classification schemes ... See more keywords
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Published in 2017 at "Journal of Nanoparticle Research"
DOI: 10.1007/s11051-017-3838-2
Abstract: Patents are an essential information source used to monitor, track, and analyze nanotechnology. When it comes to search nanotechnology-related patents, a keyword search is often incomplete and struggles to cover such an interdisciplinary discipline. Patent…
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Keywords:
patent classification;
classification schemes;
monitoring nanotechnology;
nanotechnology ... See more keywords
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Published in 2023 at "International Journal of Circumpolar Health"
DOI: 10.1080/22423982.2023.2203923
Abstract: ABSTRACT Introduction: Freezing cold injuries (FCI) are a common risk in extreme cold weather operations. Although the risks have long been recognised, injury occurrences tend to be sparse and geographically distributed, with relatively few cases…
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Keywords:
classification;
fci;
freezing cold;
classification schemes ... See more keywords
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Published in 2017 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-017-0441-2
Abstract: BackgroundAs implementation science advances, the number of interventions to promote the translation of evidence into healthcare, health systems, or health policy is growing. Accordingly, classification schemes for these knowledge translation (KT) interventions have emerged. A…
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Keywords:
classification;
policy;
scheme;
classification schemes ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0272011
Abstract: Background Atrial fibrillation (AF) has been linked to left atrial (LA) enlargement. Whereas most studies focused on 2D-based estimation of static LA volume (LAV), we used a fully-automatic convolutional neural network (CNN) for time-resolved (CINE)…
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Keywords:
fully automated;
laef active;
risk;
automated based ... See more keywords
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Published in 2022 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2022.887310
Abstract: Genomics has put prokaryotic rank-based taxonomy on a solid phylogenetic foundation. However, most taxonomic ranks were set long before the advent of DNA sequencing and genomics. In this concept paper, we thus ask the following…
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Keywords:
science;
science society;
could focus;
classification schemes ... See more keywords
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Published in 2025 at "Diagnostics"
DOI: 10.3390/diagnostics15030378
Abstract: Background/Objectives: Deep transfer learning, leveraging convolutional neural networks (CNNs), has become a pivotal tool for brain tumor detection. However, key challenges include optimizing hyperparameter selection and enhancing the generalization capabilities of models. This study introduces…
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Keywords:
classification;
transfer learning;
cart anova;
seven distinct ... See more keywords
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Published in 2024 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-28-1957-2024
Abstract: Abstract. Describing and classifying a landscape for environmental impact and risk assessment purposes is a non-trivial challenge because this requires region-specific landscape classifications that cater for region-specific impacts. Assessing impacts on ecosystems from the extraction…
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Keywords:
classification;
ecosystem;
water;
risk ... See more keywords