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Browsing Faculty of Science and Information Technology by Subject "YOLO"

Browsing Faculty of Science and Information Technology by Subject "YOLO"

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  • Ahamed, Sabbir (Daffodil International University, 2025-11-30)
    ANPR systems are very important fo traffic system safe and under control.To make these systems work well, you need to make models that are both quick and correct.This study examines the application of YOLOv8, a contemporary ...
  • Samsuddoha, Md. (Daffodil International University, 2024-07-13)
    Efficient along with precise identification of plant diseases can significantly enhance agricultural productivity and overall crop yield, particularly for lemon trees and their foliage.[24] Algal Leaf Spot, Black spot, ...
  • Jahan, Nusrat (Daffodil International University, 2025-01-11)
    The detection and classification of plant diseases are critical for improving crop yields and ensuring food security. This study focuses on developing an enhanced object detection model tailored for Ash Gourd leaf ...

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