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Showing 1 - 11 results of 11 for search 'multiple causes location algorithm', query time: 0.23s Refine Results
  1. 1
    Block structure location in the Yueman area.

    Block structure location in the Yueman area. by Chen Ma (714759)

    Published 2025
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  2. 2
    Data Sheet 1_An individualized risk prediction tool for ectopic pregnancy within the first 10 weeks of gestation based on machine learning algorithms.docx

    Data Sheet 1_An individualized risk prediction tool for ectopic pregnancy within the first 10 weeks of gestation based on machine learning algorithms.docx by Xin Du (208780)

    Published 2025
    “…</p>Conclusion<p>This study employed the CatBoost algorithm to develop an individualized risk prediction model by integrating multiple features from the initial visit. …”
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  3. 3
    Effect of reinfection probability on disease progression.

    Effect of reinfection probability on disease progression. by Philip Cherian (11172138)

    Published 2024
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  4. 4
    Results for COPD.

    Results for COPD. by Eric V. Strobl (16854789)

    Published 2025
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  5. 5
    SupplimentaryCompressed (zipped) Folder.

    SupplimentaryCompressed (zipped) Folder. by Shravani Sanyal (20833595)

    Published 2025
    “…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …”
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  6. 6
    Test omission rate and predicted area.

    Test omission rate and predicted area. by Shravani Sanyal (20833595)

    Published 2025
    “…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …”
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  7. 7
    Bioclimatic variables used for the study.

    Bioclimatic variables used for the study. by Shravani Sanyal (20833595)

    Published 2025
    “…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …”
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  8. 8
    Occurrence records of <i>S. incertulas</i> in the world.

    Occurrence records of <i>S. incertulas</i> in the world. by Shravani Sanyal (20833595)

    Published 2025
    “…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …”
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  9. 9
    Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i>

    Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

    Published 2025
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  10. 10
    <i>slc3a2a</i><sup><i>zion</i></sup> is a novel regulator of B-lp metabolism.

    <i>slc3a2a</i><sup><i>zion</i></sup> is a novel regulator of B-lp metabolism. by McKenna Feltes (11242085)

    Published 2025
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  11. 11
    Supplementary file 1_Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM.docx

    Supplementary file 1_Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM.docx by Mahmoud Murhej (21676118)

    Published 2025
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