Showing 601 - 620 results of 20,691 for search 'detection process', query time: 0.22s Refine Results
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    A novel approach for breast cancer detection using a Nesterov accelerated adam optimizer with an attention mechanism by Abeer Saber, Tamer Emara, Samar Elbedwehy, Esraa Hassan

    Published 2025-07-01
    “…Traditional disease detection methods often involve manual feature extraction from images, a process requiring extensive expertise from specialists and pathologists. …”
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    Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage by Jiaxin Gao, Feng Tan, Jiapeng Cui, Zhaolong Hou

    Published 2025-05-01
    “…This phenomenon directly impacts maize yields owing to the poor effect of unmanned aerial vehicle (UAV) remote sensing images based on seedling leakage detection in fields. Therefore, this study proposed a method for detecting missing seedling in fields based on UAV remote sensing to quickly and accurately detect missing seedling and facilitate subsequent crop management decisions.MethodsThe method calculates the rated inter-seedling distance in UAV-captured images of maize fields using a combination of image processing techniques, including background segmentation, stalk center region detection, linear fitting of plant rows, and average plant distance calculation. …”
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    Business Logic Vulnerabilities in the Digital Era: A Detection Framework Using Artificial Intelligence by Bilgin Metin, Martin Wynn, Aylin Tunalı, Yağmur Kepir

    Published 2025-07-01
    “…Business logic vulnerabilities (BLVs) can emerge following the software development process, which may be difficult to detect by vulnerability detection tools. …”
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    Semantic segmentation of optical satellite images for the illegal construction detection using transfer learning by Yashasvi Mehta, Abdullah Baz, Shobhit K. Patel

    Published 2024-12-01
    “…Current methods are often inefficient due to limited data access, inadequate analysis, and lack of automation.Recent technological advancements suggest that using satellite imagery alongside semantic segmentation is a highly effective approach for detecting illegal buildings. This process not only ensures the safety and compliance of structures but also enhances overall regulatory enforcement. …”
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