Search alternatives:
significant detection » significant reduction (Expand Search), significant attention (Expand Search), significant deviation (Expand Search)
significant source » significant burden (Expand Search), significant cause (Expand Search)
detection datasets » detection dataset (Expand Search), detection rates (Expand Search), detection data (Expand Search)
significant detection » significant reduction (Expand Search), significant attention (Expand Search), significant deviation (Expand Search)
significant source » significant burden (Expand Search), significant cause (Expand Search)
detection datasets » detection dataset (Expand Search), detection rates (Expand Search), detection data (Expand Search)
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161
Detection maps obtained using different algorithms for the Grand Isle dataset.
Published 2025Subjects: “…hyperspectral anomaly detection…”
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Detection maps obtained using different algorithms for the AVIRIS-I dataset.
Published 2025Subjects: “…hyperspectral anomaly detection…”
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163
Dataset utilized.
Published 2025“…<div><p>Leaf diseases in Zea mays crops have a significant impact on both the calibre and volume of maize yield, eventually impacting the market. …”
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164
Sample of dataset.
Published 2025“…<div><p>Leaf diseases in Zea mays crops have a significant impact on both the calibre and volume of maize yield, eventually impacting the market. …”
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165
Color detection maps for the AVIRIS-II dataset.
Published 2025“…The low-rank tensor obtained from ETRPCA serves as the background data for CRD, further enhancing detection performance. Experiments on three real hyperspectral datasets and one simulated dataset demonstrate that ETRPCA-CRD outperforms several state-of-the-art algorithms, achieving superior detection accuracy and robustness. …”
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166
Color detection maps for AVIRIS-I dataset.
Published 2025“…The low-rank tensor obtained from ETRPCA serves as the background data for CRD, further enhancing detection performance. Experiments on three real hyperspectral datasets and one simulated dataset demonstrate that ETRPCA-CRD outperforms several state-of-the-art algorithms, achieving superior detection accuracy and robustness. …”
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167
MCC evaluation using DR-HAGIS dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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Accuracy evaluation using DR-HAGIS dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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Sensitivity evaluation using DR-HAGIS dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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Specificity evaluation using DR-HAGIS dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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171
Error Rate evaluation using OIDR dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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