Showing 721 - 740 results of 25,128 for search 'detection (programs OR process)', query time: 0.24s Refine Results
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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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    ANALYSIS OF A DECADE OF STUDENT GRADES IN THE ELECTRICAL ENGINEERING DEPARTMENT AT SHARIF UNIVERSITY OF TECHNOLOGY USING GRAPH SIGNAL PROCESSING by Amirhossein Golshirazi, Reza Parhizkar, Arash Amini, Mohammad Mahdi Omati

    Published 2025-07-01
    Subjects: “…test cheating detection academic failure higher education graphic signal processing academic growth…”
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    Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning by Victor Takashi Hayashi, Wilson Vicente Ruggiero

    Published 2025-01-01
    “…In this research, Natural Language Processing (NLP) and Machine Learning (ML) techniques were applied to identify hardware trojans in complex open hardware designs (e.g., RISC-V, MIPS). …”
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    Enhancing biomedical named entity recognition with parallel boundary detection and category classification by Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li

    Published 2025-02-01
    “…Abstract Background Named entity recognition is a fundamental task in natural language processing. Recognizing entities in biomedical text, known as the BioNER, is particularly crucial for cutting-edge applications. …”
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