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selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
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Showing 1 - 20 results of 40 for search 'multiple phase selection algorithm', query time: 0.20s Refine Results
  1. 1
    Histogram of accuracy values for different machine learning models across multiple runs.

    Histogram of accuracy values for different machine learning models across multiple runs. by Amal H. Alharbi (21755906)

    Published 2025
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  2. 2
    Background field-corrected field maps in native space of a representative subject (38 years old female; RMS patient [EDSS = 0]) from additional BFR algorithms (listed on the left-hand side; Variable radius [V] Sophisticated Harmonic Artifact Reduction for Phase [SHARP; VSHARP] and Regularized Enabled SHARP [RESHARP], respectively) over a range of alternative λ values (listed at the top [λ<sub>V</sub>] and bottom [λ<sub>R</sub>], respectively).

    Background field-corrected field maps in native space of a representative subject (38 years old female; RMS patient [EDSS = 0]) from additional BFR algorithms (listed on the left-h... by Fahad Salman (6150395)

    Published 2025
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  3. 3
    Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx

    Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…</p>Discussion<p>The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. …”
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  4. 4
    Supplementary file 2_Optimising the selection of welfare indicators in farm animals.docx

    Supplementary file 2_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…</p>Discussion<p>The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. …”
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  5. 5
    Supplementary file 6_Optimising the selection of welfare indicators in farm animals.docx

    Supplementary file 6_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…</p>Discussion<p>The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. …”
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  6. 6
    Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx

    Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…</p>Discussion<p>The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. …”
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  7. 7
    Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx

    Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…</p>Discussion<p>The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. …”
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  8. 8
    Supplementary file 5_Optimising the selection of welfare indicators in farm animals.docx

    Supplementary file 5_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…</p>Discussion<p>The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. …”
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  9. 9
    Data Sheet 1_Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features.docx

    Data Sheet 1_Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical featur... by Yue Huang (285485)

    Published 2024
    “…Objective<p>The aim of this study was to evaluate the prognostic potential of combining clinical features and radiomics with multiple machine learning (ML) algorithms in pancreatic ductal adenocarcinoma (PDAC).…”
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  10. 10
    Model-based sex classification accuracies.

    Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

    Published 2025
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  11. 11
    Distributions of optimized coupling parameters and median FC strengths for males and females.

    Distributions of optimized coupling parameters and median FC strengths for males and females. by Kevin J. Wischnewski (21354521)

    Published 2025
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  12. 12
    Overview of our approach.

    Overview of our approach. by Carlos A. Gomez-Uribe (21492788)

    Published 2025
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  13. 13
    Raw dataset.

    Raw dataset. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  14. 14
    FFT feature extraction.

    FFT feature extraction. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  15. 15
    Classification report of XGBoost.

    Classification report of XGBoost. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  16. 16
    Confusion matrix of RF.

    Confusion matrix of RF. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  17. 17
    Distribution of faults types.

    Distribution of faults types. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  18. 18
    Classification report of KNN.

    Classification report of KNN. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  19. 19
    Confusion matrix of XGBoost.

    Confusion matrix of XGBoost. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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  20. 20
    Confusion matrix of KNN.

    Confusion matrix of KNN. by Zawar Ahmed Khan (22574556)

    Published 2025
    “…<div><p>This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. …”
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