Showing 701 - 720 results of 25,128 for search 'detection (programs OR process)', query time: 0.25s Refine Results
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    Construction of advanced persistent threat attack detection model based on provenance graph and attention mechanism by Yuancheng LI, Hao LUO, Xinyu WANG, Jiexuan YUAN

    Published 2024-03-01
    Subjects: “…provenance graph;natural language processing;APT attack detection;attention mechanism…”
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    Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision by Xin Bai, Zi Zhang

    Published 2025-01-01
    “…Researchers have already used vibration data and deep learning methods, such as Convolutional Neural Networks (CNNs), to detect structural damage. Moreover, some researchers have employed image-based displacement sensors (such as the template matching and edge detection methods) to obtain structural vibration information. …”
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    Effectiveness of a Community-Based Oral Cancer Screening Program Using Portable Fluorescence Spectroscopy in Rural Madhya Pradesh, India by Anuj Singh Parihar, Mahendrakumar A. Chaudhari, Hiren H. Patadiya, Jitender Kumar, Sanja Samir Sahu, Rashmi Laddha, Megha C Patel

    Published 2025-05-01
    “…Conclusions: This community-based oral cancer screening program using portable fluorescence spectroscopy proved to be a valuable tool for the early detection of oral cancer and OPMDs in a rural setting. …”
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    Breast Cancer Detection Using Infrared Thermography: A Survey of Texture Analysis and Machine Learning Approaches by Larry Ryan, Sos Agaian

    Published 2025-06-01
    “…It comprehensively reviews the entire processing pipeline, from image preprocessing and feature extraction to classification and performance assessment. …”
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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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