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  1. 241

    Identification method of roof rock interface based on response characteristics of drilling parameters by LI Dianshang, LIU Cancan, WANG Chuanbing, REN Bo, REN Shuai, KANG Zhipeng

    Published 2025-02-01
    “…Rresults indicate that the decision tree algorithm is the most effective method for quick and accurate identification of rock interfaces with penetration rate as the input parameter. …”
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    Article
  2. 242

    Method for Selecting Combinations of Optical Chemosensory Materials for Identification of Vapor-Phase Ecotoxicants by R. D. Chuvashov

    Published 2024-09-01
    “…The proposed method increases the reliability of identification of toxic substances while reducing the number of chemosensory materials involved in the process.…”
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    Article
  3. 243

    Fleet formation identification and analyzing method based on disposition feature for remote sensing by Fangli Mou, Zide Fan, Chuan’ao Jiang, Keqing Zhu, Lei Wang, Xinming Li

    Published 2025-04-01
    “…This study introduces an effective fleet formation identification and analysis method based on disposition features for remote sensing. …”
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    Non-intrusive Load Identification Method Based on the Online Self-organizing Incremental Neural Network—Non-intrusive load identification method based on the online self-organizing incremental neural network by Zhengwei HU, Zhihong WANG, Ruixin CHANG, Zhiyuan XIE, Wangbin CAO

    Published 2024-07-01
    “…This method included two steps, which are the load feature extraction and the load feature classification with the equipment identification. …”
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    RESEARCH AND DEVELOPMENT CONTROL METHOD PATHOGENIC PRION INFECTIONS SECONDARY RAW MEAT INDUSTRY by A. Y. Prosekov, O. V. Kriger

    Published 2016-10-01
    “…Highly sensitive and specific method for identification of pathogenic prion protein was developed. …”
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    Adaptive extraction method of network application signatures by Bian-qin WANG, Shun-zheng YU

    Published 2013-04-01
    “…An adaptive application signature extraction method (AdapSig) was proposed.AdapSig firstly extracted keyword sequences from payloads of packets,and then negative examples and redundancy filter were used to generate candidate signatures.An adaptive mechanism based on self-identification rate was applied to select the final si ture.Experimental results show that application signatures extracted by AdapSig have high accuracy for various protocols.…”
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