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  1. 141

    Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning by Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan

    Published 2024-09-01
    “…Utilizing image processing, computer vision, and deep learning algorithms, we can now detect fires with exceptional accuracy and respond promptly to mitigate their impact. …”
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    Article
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    Detection of Diffusion Interlayers in Dissimilar Welded Joints in Processing Pipelines by Acoustic Emission Method by Vera Barat, Artem Marchenkov, Vladimir Bardakov, Dmitrij Arzumanyan, Sergey Ushanov, Marina Karpova, Egor Lepsheev, Sergey Elizarov

    Published 2024-11-01
    “…The paper considers the neural network application to detect microstructure defects in dissimilar welded joints using the acoustic emission (AE) method. …”
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  4. 144
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    Progress of Yoghurt Taste Characteristics Perception, Formation Process and Analysis and Evaluation Methods by Lin SHI, Wei JIA, Rong ZHANG, Li ZHANG

    Published 2025-05-01
    “…The main taste perception processes of sour, sweet, bitter, fresh and salty yogurt are reviewed in this paper. …”
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    Article
  6. 146

    Evaluation of Emotional Recognition Memory in the Scope of Consolidation and Encoding Processes by Sinem Söylemez, Berk Yaşuk, Mesut Tanko, Aycan Kapucu

    Published 2021-03-01
    “…As a result, these two experiments using signal detection analysis demonstrated that the variables expected to be effective during the consolidation and encoding processes did not affect emotional recognition memory. …”
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    Comparison of Edge Detection Methods in Gray Images by Sobhi Hamdoun, Afzal Hassan

    Published 2006-12-01
    Subjects: “…image processing…”
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    Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

    Published 2025-02-01
    “…Timeseria is an object-oriented time series processing library implemented in Python, which aims at making it easier to manipulate time series data and to build statistical and machine learning models on top of it. …”
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  13. 153

    An Image Processing Approach to Quality Control of Drop-on-Demand Electrohydrodynamic (EHD) Printing by Yahya Tawhari, Charchit Shukla, Juan Ren

    Published 2024-11-01
    “…The proposed method involves three main stages: (1) image pre-processing, where edge detection techniques such as Canny filtering are applied for printed dot boundary detection; (2) contour detection, which is used to accurately quantify the dot sizes (such as dot perimeter and area); and (3) centroid detection and distance calculation, where the spacing between neighboring dots is quantified as the Euclidean distance of the dot geometric centers. …”
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    Deep learning model for recognizing fresh and rotten fruits in industrial processes by Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez

    Published 2025-07-01
    “… The detection of fruit condition is essential to ensure quality control in industrial processes. …”
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    Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

    Published 2024-10-01
    “…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. …”
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