Showing 100,441 - 100,460 results of 102,316 for search '(( 5 ((we decrease) OR (step decrease)) ) OR ( 5 ((a decrease) OR (mean decrease)) ))', query time: 1.19s Refine Results
  1. 100441

    OSNet network structure. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
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  3. 100443

    YOLOv8 overall framework. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  4. 100444

    The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  5. 100445

    Network structure of OSA. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
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  7. 100447

    PV morphology and functionality phenotypes caused by <i>Gl</i>NECAP1 ectopic expression. by Lenka Cernikova (2885315)

    Published 2020
    “…<p>(A) Multiple sequence alignment analysis of <i>Gl</i>NECAP1 and NECAP1 orthologues from <i>Arabidopsis thaliana</i> (Uniprot accession Q84WV7), <i>Trichinella pseudospiralis</i> (A0A0V1JQ20), <i>Caenorhabditis elegans</i> (Q9N489), <i>Echinococcus multilocularis</i> (A0A087VZS0), <i>Ceratitis capitata</i> (W8CD89), <i>Homo sapiens</i> (Q8NC96) and <i>Mus musculus</i> (Q9CR95) identifies conserved motifs and residues for interaction with AP2. …”
  8. 100448

    The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  9. 100449

    Atg3 Overexpression Enhances Bortezomib-Induced Cell Death in SKM-1 Cell by Lin Zhuang (389736)

    Published 2016
    “…Atg3 mRNA was significantly decreased in MDS patients’ bone marrow cells. Overexpression of Atg3 in SKM-1 cells resulted in AKT-mTOR-dependent autophagy, a significant reduction in cell proliferation and increased cell death, which could be overcome by the autophagy inhibitor 3-MA. …”
  10. 100450

    Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
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  13. 100453

    Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  14. 100454

    Improved detection layer. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  15. 100455

    The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
  16. 100456

    The matching process of EIOU. by Wenshun Sheng (21485393)

    Published 2025
    “…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”
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  18. 100458

    Markov Networks of Collateral Resistance: National Antimicrobial Resistance Monitoring System Surveillance Results from <i>Escherichia coli</i> Isolates, 2004-2012 by William J. Love (3350027)

    Published 2016
    “…Unweighted modularity did not appear to change over time (p = 0.18), but a significant decreasing trend was noted in the modularity of the weighted networks (p < 0.005) indicating relationships between drugs of different classes tended to increase in strength and frequency over time compared to relationships between drugs of the same class. …”
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