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    Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

    Published 2013-01-01
    “…A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern representations. In implementing Adaboost learning, the proposed algorithm employs an exponential criterion as a cost function and Newton’s method for its optimization. …”
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    PCR-Based Detection of Babesia ovis in Rhipicephalus bursa and Small Ruminants by Bijan Esmaeilnejad, Mousa Tavassoli, Siamak Asri-Rezaei, Bahram Dalir-Naghadeh, Karim Mardani, Ghader Jalilzadeh-Amin, Mostafa Golabi, Jafar Arjmand

    Published 2014-01-01
    “…Specific B. ovis fragment was detected in 67 animals (16.7%), of which 52 animals (18.6%) were sheep and 15 animals (12.2%) goats (P<0.05). …”
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    Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

    Published 2025-02-01
    Subjects: “…Infrared dim tiny-sized target detection…”
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    Research on Detection of Sterol Doping in Sports by Electrochemical Sensors: A Review by Yunyan Sun

    Published 2022-01-01
    “…Doping is gradually metabolized in the body and is therefore difficult to detect immediately by a common method. At the same time, the emergence of new doping agents poses a challenge for highly sensitive detection. …”
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    Predictive Modeling of a Two-Stage Gearbox towards Fault Detection by Edward J. Diehl, J. Tang

    Published 2016-01-01
    “…The research demonstrates that the modeling method in combination with the HWT data analysis has the potential for facilitating successful fault detection and diagnosis for gearbox systems.…”
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    A Novel Edge Detection Algorithm for Mobile Robot Path Planning by Rami Al-Jarrah, Mohammad Al-Jarrah, Hubert Roth

    Published 2018-01-01
    “…A novel detection algorithm for vision systems has been proposed based on combined fuzzy image processing and bacterial algorithm. …”
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    The use of large language models in detecting Chinese ultrasound report errors by Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu

    Published 2025-01-01
    “…Six radiologists of varying experience levels performed error detection on a randomly selected test set. In zero-shot setting, Claude 3.5 Sonnet and GPT-4o achieved the highest error detection rates (52.3% and 41.2%, respectively). …”
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