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  1. 361

    MALDI-TOF MS ANALYSIS OF LONG-TERM STORED STOCK CANDIDA STRAINS IDENTIFIED BY MOLECULAR AND CONVENTIONAL METHODS by Tuğrul Hoşbul, Fatih Şahiner, Ramazan Gümral, Sinem Kaya, Bayhan Bektöre, Kemal Tekin, Şinasi Taner Yıldıran

    Published 2021-01-01
    “…Herein, we aimed to investigate the efficacy of the MALDI-TOF MS method in the identification of Candida clinical isolates stored at -20°C for years. …”
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    Methodology for the development of identification criteria of stone fruit brandy by L. N. Krikunova, S. M. Tomgorova, V. A. Zaharova

    Published 2023-10-01
    “…The need to develop identification criteria for fruit brandy is connected with the prevention of the sale of counterfeit products on the Russian alcohol market. …”
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  5. 365

    GCNTrack: A Pig-Tracking Method Based on Skeleton Feature Similarity by Zhaoyang Yin, Zehua Wang, Junhua Ye, Suyin Zhou, Aijun Xu

    Published 2025-04-01
    “…Three identical FOV sets of data that separately included long, medium, and short duration videos were used to test the model and verify its performance. The GcnTrack method achieved a Multiple Object Tracking Accuracy (MOTA) of 84.98% and an identification F1 Score (IDF1) of 82.22% for the first set of videos (short duration, 87 s to 220 s). …”
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  6. 366

    Crack Recognition Algorithm Integrating Attention Mechanism and Region Growth Method by LING Xiaokang, ZHAN Jie, MA Jianfei

    Published 2023-01-01
    “…To optimize traditional crack identification methods,improve the robustness and accuracy of the crack identification method,and realize automatic crack identification,this paper proposes a crack recognition algorithm integrating attention mechanism and region growth.It establishes dynamic thresholds and obtains the crack results under different thresholds by employing the region growth method.The attention mechanism is introduced to assign different weight coefficients to each pixel of the image according to the crack identification under dynamic thresholds for more accurate crack recognition results.Finally,the characteristic information of cracks is determined by the length of the crack skeleton and the area occupied by the crack region (length and average width of the crack).Through verifying field crack images,the results show that the crack characteristic information identified by the crack identification method integrating attention mechanism and region growth is basically consistent with the actual crack characteristics.The method features strong robustness and identification accuracy,which provides support for engineering health monitoring.…”
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    An Identification Method of Polarization Modulation for Ship and Combined Corner Reflector Based on Civil Marine Radar by Di ZHU, Fulai WANG, Chen PANG, Yongzhen LI

    Published 2024-12-01
    “…The latter two methods use polarization to improve target identification. …”
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    A Systematic Review of Photolysis and Hydrolysis Degradation Modes, Degradation Mechanisms, and Identification Methods of Pesticides by Xingang Meng, Yuanjun Guo, Yihui Wang, Shijun Fan, Kaiqi Wang, Wenhua Han

    Published 2022-01-01
    “…In addition, this paper also describes the degradation mechanism of different pesticides, classifies, and summarizes the methods of degradation products identification. For the sake of human life health and better biological environment, we should have a familiar knowledge of the natural degradation of pesticides and understand the photo-hydrolysis and its influencing factors (temperature, pH, light, etc.). …”
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  16. 376

    IMM4HT:an identification method of malicious mirror website for high-speed network traffic by Lei ZHANG, Peng ZHANG, Wei SUN, Xingdong YANG, Lichao XING

    Published 2019-07-01
    “…Aiming at the problem that some information causing harm to the network environment was transmitted through the mirror website so as to bypass the detection,an identification method of malicious mirror website for high-speed network traffic was proposed.At first,fragmented data from the traffic was extracted,and the source code of the webpage was restored.Next,a standardized processing module was utilized to improve the accuracy.Additionally,the source code of the webpage was divided into blocks,and the hash value of each block was calculated by the simhash algorithm.Therefore,the simhash value of the webpage source codes was obtained,and the similarity between the webpage source codes was calculated by the Hamming distance.The page snapshot was then taken and SIFT feature points were extracted.The perceptual hash value was obtained by clustering analysis and mapping processing.Finally,the similarity of webpages was calculated by the perceptual hash values.Experiments under real traffic show that the accuracy of the method is 93.42%,the recall rate is 90.20%,the F value is 0.92,and the processing delay is 20 μs.Through the proposed method,malicious mirror website can be effectively detected in the high-speed network traffic environment.…”
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    Identification and Location Method of Bitter Gourd Picking Point Based on Improved YOLOv5-Seg by Sheng Jiang, Yechen Wei, Shilei Lyu, Hualin Yang, Ziyi Liu, Fangnan Xie, Jiangbo Ao, Jingye Lu, Zhen Li

    Published 2024-10-01
    “…The experimental data show that the research method in this paper has certain reference significance for the accurate identification and location of bitter gourd picking points.…”
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    Digital Colorimetry of Non-steroidal Anti-inflammatory Drugs: Identification Using Principal Component Method by A. A. Chaplenko, O. V. Monogarova, K. V. Oskolok

    Published 2020-02-01
    “…Digital colorimetry is one of the available and simple methods that can be used for the rapid detection of low-quality drugs. …”
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