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codon optimization » wolf optimization (Expand Search)
robust detection » object detection (Expand Search), point detection (Expand Search), first detection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based robust » based probes (Expand Search)
binary base » binary mask (Expand Search), ciliary base (Expand Search), binary image (Expand Search)
Showing 1 - 9 results of 9 for search '(( binary base codon optimization algorithm ) OR ( binary based robust detection algorithm ))*', query time: 0.45s Refine Results
  1. 1
    The main workflow of the proposed algorithm.

    The main workflow of the proposed algorithm. by Xin Li (51274)

    Published 2023
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  2. 2
    The detected blocks.

    The detected blocks. by Xin Li (51274)

    Published 2023
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  3. 3
    Symmetry test result.

    Symmetry test result. by Jiyong Moon (16819302)

    Published 2023
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  4. 4
    MERs and their Fourier descriptor figure.

    MERs and their Fourier descriptor figure. by Xin Li (51274)

    Published 2023
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  5. 5
    Supportive boundary lines and related results.

    Supportive boundary lines and related results. by Xin Li (51274)

    Published 2023
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  6. 6
    Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx

    Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx by Changjiang Liang (21099887)

    Published 2025
    “…To address these limitations, this study proposed a method for detecting litchi maturity states based on UAV remote sensing and YOLOv8-FPDW. …”
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  7. 7
    Enhancing digital pathology workflows: computational blur detection for H&E image quality control in preclinical toxicology

    Enhancing digital pathology workflows: computational blur detection for H&E image quality control in preclinical toxicology by Cyrus Manuel (22770779)

    Published 2025
    “…To address this, we have integrated a pair of productionalized computational models – ‘MiQC’ (Microscopic Quality Control) – into our routine image QC workflows. MiQC combines Local Binary Patterns (LBP) and DeepFocus-based deep learning algorithms to detect and quantify out-of-focus regions in WSIs. …”
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  8. 8
    Processed dataset to train and test the WGAN-GP_IMOA_DA_Ensemble model

    Processed dataset to train and test the WGAN-GP_IMOA_DA_Ensemble model by Ramya Chinnasamy (21633527)

    Published 2025
    “…<p dir="ltr">In the dynamic landscape of cybersecurity, robust and efficient Intrusion Detection Systems (IDS) are essential. …”
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  9. 9
    Supplementary Material 8

    Supplementary Material 8 by Nishitha R Kumar (19750617)

    Published 2025
    “…By mitigating class imbalance, SMOTE enables robust AMR detection, aiding in early identification of drug-resistant bacteria and informing antibiotic stewardship efforts.…”
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