يعرض 1 - 20 نتائج من 111 نتيجة بحث عن '(( binary image _ optimization algorithm ) OR ( primary data process identification algorithm ))*', وقت الاستعلام: 0.54s تنقيح النتائج
  1. 1
  2. 2
  3. 3
  4. 4

    A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

    منشور في 2025
    "…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …"
  5. 5

    Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

    منشور في 2025
    "…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
  6. 6

    Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

    منشور في 2025
    "…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
  7. 7

    Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

    منشور في 2025
    "…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
  8. 8

    Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

    منشور في 2025
    "…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
  9. 9

    Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

    منشور في 2025
    "…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
  10. 10

    ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
  11. 11

    Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
  12. 12
  13. 13

    Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

    منشور في 2025
    "…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20