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  1. 2121

    A Method for Detecting Foreign Objects in Pastries Based on Deep Learning by Haoqi TANG, Jun YANG, Rongchang CHEN

    Published 2025-07-01
    “…During the industrial production of pastries, foreign substances such as plastic and rubber can accidentally enter the processing chain, posing serious risks to consumer health and safety. …”
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  2. 2122
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  5. 2125

    Bottom Detection Method of Side-Scan Sonar Image for AUV Missions by Huapeng Yu, Ziyuan Li, Dailin Li, Tongsheng Shen

    Published 2020-01-01
    “…In order to obtain the measurement parameters of the sea bottom geomorphology or underwater objects, the first step in side-scan sonar (SSS) image processing is bottom detection. Due to the complexity of the marine environment, the acoustic signals received by SSS are usually polluted by noises, which affect its image quality and make the extraction of image features difficult. …”
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  6. 2126

    DETECTION OF FRACTURE A CONTOURS ON the image using expandING MASKS by O. G. Shevchuk, V. Yu. Tsviatkou

    Published 2019-06-01
    “…The method of detection of fracture a contours based on extensible binary masks is proposed. …”
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  7. 2127

    Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects by Lesia Dubchak, Anatoliy Sachenko, Yevgeniy Bodyanskiy, Carsten Wolff, Nadiia Vasylkiv, Ruslan Brukhanskyi, Volodymyr Kochan

    Published 2024-12-01
    “…Unmanned aerial vehicles are deployed to photograph the turbines, and these images are beamed back and processed for early defect detection. The proposed adaptive neuro-fuzzy inference system processes the data vectors with lower complexity and higher accuracy. …”
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  8. 2128

    Deep Learning-Based Real-Time Driver Cognitive Distraction Detection by Matteo Fresta, Francesco Bellotti, Igor Bochenko, Luca Lazzaroni, Gaetan Merlhiot, Fabio Tango, Riccardo Berta

    Published 2025-01-01
    “…Moreover, since cognitive distraction is not a point in time phenomenon, spotting this kind of distraction requires the processing of a certain time interval, which poses a further challenge for real-time performance. …”
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  9. 2129

    Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

    Published 2025-04-01
    “…With the continuous growth of network traffic scale, traditional software-based intrusion detection systems (IDS) constrained by CPU-processing capabilities struggle to meet the requirements of 100 Gbps high-speed network environments. …”
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  10. 2130

    Use of Sentinel-2 images for the detection of sandbars along the Lower Vistula by Klaudia Oktawia Kryniecka, Artur Magnuszewski

    Published 2020-09-01
    “…A proper selection of remote sensing index, creation of binary classification and selection of processing algorithm are important when detecting river islands. …”
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  11. 2131

    A Critical Overview of Common Foodborne Toxicants and Methods for Their Reliable Detection by Betty Bowe Acquah, John‐Lewis Zinia Zaukuu

    Published 2025-07-01
    “…However, toxicants such as mycotoxins, heavy metals, acrylamide, and pesticides can be present in food either naturally or through processing, packaging, or some anthropogenic activities. …”
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  12. 2132

    System Architecture for Real-Time Face Detection on Analog Video Camera by Mooseop Kim, Deokgyu Lee, Ki-Young Kim

    Published 2015-05-01
    “…The experimental results show that the processing time for face detection on analog video camera is 42 frames per second, which is about 3 times faster than previous works for low-cost face detection.…”
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  13. 2133

    The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

    Published 2025-03-01
    “…Traditionally, prominent scatterers, also known as coherent scatterers, are usually detected by employing thresholding techniques alongside statistical measures in the detection processing chain. …”
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  14. 2134

    Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

    Published 2024-12-01
    “…Therefore, a certain trade-off analysis and problem-specific modifications of original processing must be done. As a result, the clickstream clustering method of the Louvain clustering algorithm and the modified Longest Common Subsequence algorithm showed more appropriate results in detecting the well-clustered user behavior models based on user sessions data. …”
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    TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

    Published 2025-01-01
    “…The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing. …”
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  17. 2137

    Research progress in near-infrared spectroscopy for detecting the quality of potato crops by Wenjing Ren, Qingqing Jiang, Wenliang Qi

    Published 2025-03-01
    “…Root crops, including but not limited to potatoes, cassava, yams, and sweet potatoes, are vital nutritional components of human diets and also serve as critical raw materials in food processing and industrial applications. The significance of these crops is underscored by their impact on consumer health and the economic viability of enterprises, thereby highlighting the importance of effective detection methods for these crops. …”
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  18. 2138

    THREE-DIMENSIONAL DETECTION OF GAMMA RADIATION AND POLLUTING GASES USING QUADROCOPTERS by A. Molnar

    Published 2020-04-01
    “…The experiments also indicate that, when replacing the used sensors, it may be necessary to change the processing of the measured data in accordance with the characteristics of the particular sensor; however, in general, data processing and visualisation of the results can be carried out in practice.…”
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  19. 2139
  20. 2140

    Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

    Published 2020-01-01
    “…The mean filtering algorithm can reduce the effect of noise by pre-processing the image. The algorithm a hog-target detection describes the features of the object’s surface edges in areas such as graphics and image processing; and calculates the distribution of characteristics in the direction of inclination of the particular part of the image. …”
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