Showing 39,441 - 39,460 results of 102,147 for search '(( 2 step decrease ) OR ( 5 ((point decrease) OR (((nn decrease) OR (a decrease)))) ))', query time: 1.82s Refine Results
  1. 39441

    Cobalt Hexacyanoferrate on BiVO<sub>4</sub> Photoanodes for Robust Water Splitting by Franziska Simone Hegner (4528177)

    Published 2018
    “…A bare 10–15% decrease in photocurrent was observed after more than 50 h of operation under light irradiation.…”
  2. 39442
  3. 39443
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  5. 39445
  6. 39446
  7. 39447
  8. 39448

    The detection results of different methods. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  9. 39449

    The network architecture of GSConv. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  10. 39450

    Comparison speed at Jetson Nano. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  11. 39451

    The precision-recall curve of our model. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  12. 39452

    The network architecture of VOVGSCSP. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  13. 39453

    SE network architecture. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  14. 39454

    Structure diagram of the DSC-SE module. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  15. 39455

    Configuration of the experimental environment. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  16. 39456

    Results of ablation experiments. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  17. 39457

    Performance comparison with other models. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  18. 39458

    Comparison of different methods. by Yulu Zhang (1774471)

    Published 2023
    “…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”
  19. 39459

    Data_Sheet_1_A Multi-Sectoral Approach Improves Early Child Development in a Disadvantaged Community in Peru: Role of Community Gardens, Nutrition Workshops and Enhanced Caregiver-... by Doris González-Fernández (8613708)

    Published 2020
    “…Use of a multiple micronutrient supplement decreased the risk of motor delay [0.12 (0.03–0.56)], but more pets were associated with higher risk of motor [3.24 (1.47–7.14)] and social/cognitive delay [2.72 (1.33–5.55)], and of food insecurity [1.73 (1.13–2.66)].…”
  20. 39460

    Is thermal stability a factor that influences environmental heterogeneity and phytoplankton distribution in tropical lakes? by Luciana Gomes Barbosa (5139065)

    Published 2018
    “…Methods Monthly measurements were performed over a five-year period in the vertical profile of a warm monomitic shallow lake (Lago Carioca) and in a deep and meromictic (Lake Dom Helvécio). …”