Search alternatives:
marked decrease » marked increase (Expand Search)
based decrease » caused decreased (Expand Search), based defense (Expand Search)
module based » made based (Expand Search)
Showing 1 - 20 results of 3,002 for search '(( module based decrease ) OR ( i ((larger decrease) OR (marked decrease)) ))', query time: 0.54s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11

    S1 File - by Hongyu Li (1332669)

    Published 2025
    “…Following the overexpression of miRNA 221 in myocardium, there was a marked alleviation of myocardial injury and cardiomyocyte apoptosis and necrosis, significant enhancement of left ventricular systolic function, and marked decrease in the levels of PLB, p-PLB (Ser16), p-PLB (Thr17), caspase 3 and Cyt C, as well as a significant decrease in total calcium levels in myocardium.…”
  12. 12
  13. 13
  14. 14

    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…Threshold parameter <i>c</i> = − 0 . 1 for the rectified cosine tuning with 4 neurons, and width <i>w</i> was 1 for von Mises tuning. …”
  15. 15
  16. 16
  17. 17
  18. 18

    MGPC module. by Bo Tong (2138632)

    Published 2025
    “…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
  19. 19

    DTADH module. by Bo Tong (2138632)

    Published 2025
    “…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
  20. 20

    MFDPN module. by Bo Tong (2138632)

    Published 2025
    “…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”