بدائل البحث:
increase decrease » increased release (توسيع البحث), increased crash (توسيع البحث)
significant bins » significant bias (توسيع البحث), significant bit (توسيع البحث), significant hits (توسيع البحث)
bins decrease » point decrease (توسيع البحث), sizes decrease (توسيع البحث), nn decrease (توسيع البحث)
increase decrease » increased release (توسيع البحث), increased crash (توسيع البحث)
significant bins » significant bias (توسيع البحث), significant bit (توسيع البحث), significant hits (توسيع البحث)
bins decrease » point decrease (توسيع البحث), sizes decrease (توسيع البحث), nn decrease (توسيع البحث)
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Soil disturbance cross-sectional model.
منشور في 2025"…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …"
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Test plan table.
منشور في 2025"…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …"
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Gas jet subsoiling model.
منشور في 2025"…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …"
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Schematic diagram of the airflow passage.
منشور في 2025"…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …"
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Variation in soil penetration resistance.
منشور في 2025"…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …"
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Supersonic gas jet subsoiler experiment.
منشور في 2025"…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …"
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R project including metadata update.
منشور في 2025"…<div><p>The increasing number of Barcode of Life Database (BOLD) records per species and genus leads to contradictory species assignments within Barcode Index Numbers (BINs), serving as identifiers for the BOLD ID engine. …"
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Classes of errors and gaps in BOLD metadata.
منشور في 2025"…<div><p>The increasing number of Barcode of Life Database (BOLD) records per species and genus leads to contradictory species assignments within Barcode Index Numbers (BINs), serving as identifiers for the BOLD ID engine. …"
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Evaluation results.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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Dataset with steel insert.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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Reference dataset.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"
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Dataset with aluminium insert.
منشور في 2024"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"