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Published in 2019 at "Remote Sensing in Ecology and Conservation"
DOI: 10.1002/rse2.109
Abstract: Plant invasions can result in serious threats for biodiversity and ecosystem functioning. Reliable maps at very-high spatial resolution are needed to assess invasions dynamics. Field sampling approaches could be replaced by unmanned aerial vehicles (UAVs)…
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Keywords:
high spatial;
remote sensing;
spatial resolution;
species classification ... See more keywords
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Published in 2017 at "Health Information Science and Systems"
DOI: 10.1007/s13755-017-0025-x
Abstract: PurposeIt is common that a trained classification model is applied to the operating data that is deviated from the training data because of noise. This paper will test an ensemble method, Diversified Multiple Tree (DMT),…
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Keywords:
trees classification;
building diversified;
biomedical data;
multiple trees ... See more keywords
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Published in 2018 at "Industrial Health"
DOI: 10.2486/indhealth.2018-0068
Abstract: The International Classification of High-resolution Computed Tomography for Occupational and Environmental Respiratory Diseases (ICOERD) has been developed for screening and diagnosis of occupational lung diseases. We evaluated the association of icoerd with the International Labor…
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Keywords:
classification;
high resolution;
pneumoconiosis;
respiratory ... See more keywords
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Published in 2020 at "International Journal of Applied Mathematics and Computer Science"
DOI: 10.34768/amcs-2020-0030
Abstract: Abstract Satellite image classification is essential for many socio-economic and environmental applications of geographic information systems, including urban and regional planning, conservation and management of natural resources, etc. In this paper, we propose a deep…
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Keywords:
satellite images;
classification;
classification high;
resolution satellite ... See more keywords