يعرض 121 - 140 نتائج من 880 نتيجة بحث عن 'algorithm both function', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 121

    Ablation study on the RSOD dataset. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  2. 122

    Structure and working principle of LI-YOLOv8. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  3. 123

    C2f-E improvement process. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  4. 124

    Structure of Detect and GP-Detect. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  5. 125

    YOLOv8 structure and working principle. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  6. 126

    Improvement of CBS to CBR process. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  7. 127

    EMA attention mechanism working principle. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  8. 128

    Ablation study on the NWPU VHR-10 dataset. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  9. 129

    GSConv working principle. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  10. 130

    PR comparison on NWPU VHR-10 dataset. حسب Pingping Yan (462509)

    منشور في 2025
    "…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …"
  11. 131

    Data Sheet 1_IGSA-SAC: a novel approach for intrusion detection using improved gravitational search algorithm and soft actor-critic.docx حسب Lizhong Jin (20991293)

    منشور في 2025
    "…On the AWID dataset, IGSA-SAC surpasses 98.9% in both accuracy and F1-score, outperforming existing intrusion detection algorithms.…"
  12. 132

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... حسب Xin Zhao (71840)

    منشور في 2025
    "…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …"
  13. 133

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... حسب Xin Zhao (71840)

    منشور في 2025
    "…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …"
  14. 134

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... حسب Xin Zhao (71840)

    منشور في 2025
    "…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …"
  15. 135

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... حسب Xin Zhao (71840)

    منشور في 2025
    "…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …"
  16. 136

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... حسب Xin Zhao (71840)

    منشور في 2025
    "…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …"
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  19. 139

    Hyperparameters of different datasets. حسب GaoXiang Zhao (21499525)

    منشور في 2025
    "…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"
  20. 140

    Results of different models. حسب GaoXiang Zhao (21499525)

    منشور في 2025
    "…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"