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  1. 221

    Research on identification method of bituminous coal based on terahertz time-domain spectroscopy by Shuguang Miao, Shuguang Miao, Xiang Liu, Xiang Liu, Yue Zhang, Yue Zhang, SuWen Li, SuWen Li, Enjie Ding, Enjie Ding

    Published 2025-04-01
    “…The traditional coal type identification method needs to measure a variety of parameters of coal samples to obtain more accurate results, and the detection process is time-consuming and laborious, and can not realize the rapid identification of coal types. …”
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    Article
  2. 222

    Efficient Identification Method of Fractured Leaky Layers Based on Pressure Gauge Arrays by XING Xuesong, ZHOU Changsuo, WANG Yumei, WU Yi, SHI Jian, GU Jijun

    Published 2025-02-01
    “…To solve this problem, this paper establishes a fracture leakage model for complex structural wells, considers multi-fracture leakage under various working conditions, optimizes the spatial arrangement of pressure sensors, and adopts a manometer array for the first time to realize downhole fracture location identification. The study results show that the manometer array method can obtain the downhole circumferential pressure in real time and intuitively, and accurately assess the fracture location and degree of openness through the pressure cloud map, to quantify the risk of leakage and facilitate the implementation of targeted measures such as adjusting the mud density or increasing the mud particle size, which provides a solid theoretical basis for the leakage plugging operation.…”
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  3. 223

    Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods by Chu Zhang, Chang Wang, Fei Liu, Yong He

    Published 2016-01-01
    “…These methods were classified as highly effective methods (soft independent modelling of class analogy, support vector machine, back propagation neural network, radial basis function neural network, extreme learning machine, and relevance vector machine), methods of medium effectiveness (partial least squares-discrimination analysis, K nearest neighbors, and random forest), and methods of low effectiveness (Naive Bayes classifier) according to the classification accuracy for coffee variety identification.…”
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  4. 224

    Deep learning-based ranking method for subgroup and predictive biomarker identification in patients by Zihuan Liu, Yihua Gu, Xin Huang

    Published 2025-06-01
    “…Methods We introduce DeepRAB, a deep learning-based framework designed for exploring treatment effect heterogeneity by constructing individualized treatment rule (ITR). …”
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    Article
  5. 225

    Research on High Precision Modal Identification Method and Structural Optimization Design of Gearboxes by Dong Huaiyu, He Lidong, Jia Xingyun, Hou Qiyang

    Published 2023-09-01
    “…Considering the complexity of the gearbox structure, the first six orders are identified by using the single-point excitation and multipoint response modal identification technology, and the modal confidence, namely, the modal identification accuracy is high. …”
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  6. 226

    DEVELOPMENT OF METHOD FOR IMPROVING IDENTIFICATION SYSTEMS RELIABILITY USING SRAM PUF AS IDENTIFIER by G. S. Aliev

    Published 2022-08-01
    “…To reduce degradation, author proposed and experimentally evaluated new cell recovery methods which increases reliability of identification systems that use SRAM PUF stable cells as an identifier carrier.…”
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  7. 227

    Identification Method of Mature Wheat Varieties Based on Improved DenseNet Model by Zihang Liu, Yuting Zhang, Guifa Teng

    Published 2025-03-01
    “…However, the automatic identification of wheat varieties at the mature stage is very important for field management, planting area, and yield prediction. …”
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  10. 230

    Automatic identification of music performer using the linear prediction cepstral coefficients method by Magdalena CHUDY

    Published 2014-03-01
    “…The paper describes a method of automatic identification of different music performers playing identical pieces of music on the same instrument. …”
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    Lithology Combination Identification Method Based on Discrete Wavelet Transform and Its Application by JIAO Guohua

    Published 2024-10-01
    “…This method has the value of popularization in the same type of reservoir.…”
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    Article
  13. 233

    Application of different edge detection methods for faults identification in Anza Basin, Kenya by Gege Li, Qing Chen, Bingqiang Yuan, Xianfeng Tan, Hao Chen, Xiaoyu Huang, Lang Pan

    Published 2025-02-01
    “…However, the traditional potential field boundary identification method has limited ability to detect the boundaries of buried deep geological bodies. …”
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    Article
  14. 234
  15. 235

    Research on the acquisition and identification methods of critical microscopic quality characteristics in the manufacturing process by Zhongyi Wu, Zhenyang Xu, Cheng Liang, Kan Lv, Bin Qin

    Published 2025-09-01
    “…Intelligent acquisition and representation of MQC during machining are realized by using natural language processing (NLP) techniques and topological methods. Additionally, the Triangular fuzzy number (TFN)-Elimination Et Choice Translating Reality (ELECTRE)-Adversarial Interpretive Structure Modeling (AISM) method was used for the identification of critical microscopic quality characteristics (CMQC), and the practicality and validity of the method in high-precision blade processing were verified by sensitivity analysis and method comparison. …”
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  16. 236

    Identification Methods of Tumor Tissue Origin Based on Different STR Typing Kits by WU Li-ming, CHEN An-qi, ZHANG Su-hua, LI Cheng-tao

    Published 2024-08-01
    “…ObjectiveTo establish the identification method of tumor tissue origin based on commonly used STR typing kits.MethodsForenSeqTM DNA Signature Prep kit was used to detect the typing of 27 autosomal STR loci in 55 paired tumor tissue samples (tumor tissue paired with normal tissue of the same individual) and 75 unrelated individual whole blood samples. …”
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    Key Nodes Identification Method in Scale-Free Network Based on Structural Holes by Weiyan Liu

    Published 2025-01-01
    “…While current key node identification methods (e.g., degree centrality, betweenness centrality) often neglect structural hole nodes or suffer from high computational costs, this can lead to biased prioritization of key nodes. …”
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    Energy Consumption Prediction of Building Heating Systems Based on Model Identification Methods by 曲明璐, 杜尚赫, 张欣林, 于 震, 李 怀

    Published 2025-01-01
    “…The study conducts an in-depth analysis of time-series historical data generated by buildings using machine learning techniques. A general model identification method was developed through an algorithm that optimizes competition based on black-box models. …”
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