Showing 1 - 20 results of 133 for search '"Microsoft Azure"', query time: 0.09s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

    Car logo recognition using YOLOv8 and microsoft azure custom vision by Muhammad ‘Arif, Mohd Anuwa, Nor Azuana, Ramli, Mohd Zaid Waqiyuddin, Mohd Zulkifli

    Published 2023
    “…To conclude, the choice between YOLOv8 and Microsoft Azure Custom Vision depends on the specific requirements of the project, technical expertise, and resources.…”
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6

    Recognition of adherent polychaetes on oysters and scallops using Microsoft Azure Custom Vision by Dong-hyeon Kim, Se-woon Choe, Sung-Uk Zhang

    Published 2023-02-01
    “…In this study, an artificial intelligence model for automatic selection of polychaetes was developed using Microsoft Azure Custom Vision to improve the productivity of oysters and scallops. …”
    Get full text
    Article
  7. 7

    Nanopore sequencing data analysis using Microsoft Azure cloud computing service by Linh Truong, Felipe Ayora, Lloyd D’Orsogna, Patricia Martinez, Dianne De Santis

    Published 2022-01-01
    “…In conclusion, the Microsoft Azure cloud based data analysis pipeline was shown to meet all the key imperatives for performance, cost, usability, simplicity and accuracy. …”
    Get full text
    Article
  8. 8

    Nanopore sequencing data analysis using Microsoft Azure cloud computing service. by Linh Truong, Felipe Ayora, Lloyd D'Orsogna, Patricia Martinez, Dianne De Santis

    Published 2022-01-01
    “…In conclusion, the Microsoft Azure cloud based data analysis pipeline was shown to meet all the key imperatives for performance, cost, usability, simplicity and accuracy. …”
    Get full text
    Article
  9. 9

    Microsoft Azure Kinect Calibration for Three-Dimensional Dense Point Clouds and Reliable Skeletons by Laura Romeo, Roberto Marani, Anna Gina Perri, Tiziana D’Orazio

    Published 2022-07-01
    “…This paper analyzes the available two-camera calibration approaches to propose a guideline for calibrating multiple Azure Kinect RGB-D sensors to achieve the best alignment of point clouds in both color and infrared resolutions, and skeletal joints returned by the Microsoft Azure Body Tracking library. Different calibration methodologies using 2D and 3D approaches, all exploiting the functionalities within the Azure Kinect devices, are presented. …”
    Get full text
    Article
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20