Search alternatives:
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 b » binary _ (Expand Search)
b codon » _ codon (Expand Search), b common (Expand Search)
Showing 1 - 20 results of 82 for search '(( lines based processes identification algorithm ) OR ( binary b codon optimization algorithm ))', query time: 0.61s 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
    Save to List
    Saved in:
  2. 2
    Predicted straight-line display.

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

    Published 2024
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  8. 8
    The a-wave amplitude at the scan line.

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

    Published 2024
    Save to List
    Saved in:
  9. 9
    mAP@0.5 line charts for different models.

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

    Published 2024
    Save to List
    Saved in:
  10. 10
    Challenges of TAD identification in Hi-C maps.

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

    Published 2024
    Save to List
    Saved in:
  11. 11
    Random forest classification method process.

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

    Published 2023
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  13. 13
    SV detection workflow.

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

    Published 2025
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  18. 18
    Separating hyperplanes in the linearly separable case.

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

    Published 2024
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  20. 20
    TPR on manually annotated Hi-C maps.

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

    Published 2024
    Save to List
    Saved in:

Search Tools: