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processes identification » progression identification (Expand Search), protein identification (Expand Search), proteomic identification (Expand Search)
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
based processes » care processes (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a codon » _ codon (Expand Search), a common (Expand Search)
Showing 1 - 20 results of 82 for search '(( lines based processes identification algorithm ) OR ( binary a codon optimization algorithm ))', query time: 0.71s Refine Results
  1. 1
    Average running time line graph of different algorithms.

    Average running time line graph of different algorithms. by Wuyi Li (2984439)

    Published 2024
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  2. 2
    Predicted straight-line display.

    Predicted straight-line display. by Jinyu Wang (381467)

    Published 2024
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  3. 3
    Video3_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4

    Video3_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4 by Bilang Wu (14799676)

    Published 2023
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  4. 4
    Video4_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4

    Video4_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4 by Bilang Wu (14799676)

    Published 2023
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  5. 5
    Video1_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4

    Video1_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4 by Bilang Wu (14799676)

    Published 2023
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  6. 6
    Video2_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4

    Video2_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4 by Bilang Wu (14799676)

    Published 2023
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  7. 7
    Video5_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4

    Video5_Dynamic identification and automatic counting of the number of passing fish species based on the improved DeepSORT algorithm.mp4 by Bilang Wu (14799676)

    Published 2023
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  8. 8
    The a-wave amplitude at the scan line.

    The a-wave amplitude at the scan line. by Zhe Wang (41178)

    Published 2024
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  9. 9
    mAP@0.5 line charts for different models.

    mAP@0.5 line charts for different models. by Meiling Shi (13148944)

    Published 2024
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  10. 10
    Challenges of TAD identification in Hi-C maps.

    Challenges of TAD identification in Hi-C maps. by Luka Maisuradze (8791229)

    Published 2024
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  11. 11
    Random forest classification method process.

    Random forest classification method process. by Yawen Zhong (2342206)

    Published 2023
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  12. 12
    Comparison of effect size (OR) between our GWAS with NLP-enriched phenotyping and previous GWAS with ICD-based phenotyping from Maguire et al.

    Comparison of effect size (OR) between our GWAS with NLP-enriched phenotyping and previous GWAS with ICD-based phenotyping from Maguire et al. by Yoonjung Yoonie Joo (14296640)

    Published 2023
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  13. 13
    SV detection workflow.

    SV detection workflow. by De-Min Duan (20685513)

    Published 2025
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  14. 14
    Identification of differentially expressed genes in the GSE150392 dataset by differential analysis.

    Identification of differentially expressed genes in the GSE150392 dataset by differential analysis. by Fengjun Zhang (5878169)

    Published 2022
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  15. 15
    Table1_Pin Bolt State Identification Using Cascaded Object Detection Networks.docx

    Table1_Pin Bolt State Identification Using Cascaded Object Detection Networks.docx by Yaocheng Li (12277934)

    Published 2022
    “…<p>Unmanned aerial vehicle-based transmission line inspections produce a large number of photos; significant manpower and time are required to inspect the abnormalities and faults in such photos. …”
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  16. 16
    Training an SVM classifier only on support vectors compared to that trained on the whole dataset.

    Training an SVM classifier only on support vectors compared to that trained on the whole dataset. by Mohammed Shalaby (18297650)

    Published 2024
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  17. 17
    Effect of border overlap on the decision boundaries of the trained classifier on the Banana dataset.

    Effect of border overlap on the decision boundaries of the trained classifier on the Banana dataset. by Mohammed Shalaby (18297650)

    Published 2024
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  18. 18
    Separating hyperplanes in the linearly separable case.

    Separating hyperplanes in the linearly separable case. by Mohammed Shalaby (18297650)

    Published 2024
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  19. 19
    Graphical description and examples of different types of TADs.

    Graphical description and examples of different types of TADs. by Luka Maisuradze (8791229)

    Published 2024
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  20. 20
    TPR on manually annotated Hi-C maps.

    TPR on manually annotated Hi-C maps. by Luka Maisuradze (8791229)

    Published 2024
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