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  1. 421

    Acoustic emission detection and defect identification method for micro-leakage in natural gas pipeline valves by Lizhen ZHANG, Wen'ao WANG

    Published 2024-06-01
    “…The two-dimensional and three-dimensional feature factor matrices were further analyzed using K-means and K-medoids clustering methods. Results For the identification of micro-leakage defects of natural gas valves under low pressure conditions (0.2 MPa), the clustering effect of 3D PCA reached 97.8%, surpassing that of 2D PCA. …”
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  2. 422

    Transmission line fault identification method based on weighted federated learning and multimodal residual network by Jian Wang, Fengkai Lin, Dongliang Nan, Qi Zhao, Han Xue, Jinxin Ouyang

    Published 2025-09-01
    “…Therefore, this paper proposed a transmission line fault identification method based on weighted federated learning and multi-modal residual network. …”
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    Article
  3. 423

    A State Space Method for Modal Identification of Mechanical Systems from Time Domain Responses by Xiaobo Liu

    Published 2005-01-01
    “…A new state space method is presented for modal identification of a mechanical system from its time domain impulse or initial condition responses. …”
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  4. 424

    Deep Learning Methods for Automatic Identification of Male and Female Chickens in a Cage-Free Flock by Bidur Paneru, Ramesh Bahadur Bist, Xiao Yang, Anjan Dhungana, Samin Dahal, Lilong Chai

    Published 2025-06-01
    “…Six roosters were mixed with 200 Lohmann LSL Lite hens during the pre-peak phase in a CF research facility and were marked with different identifications. Deep learning methods, such as You Only Look Once (YOLO) models, were innovated and trained (based on a comb size of up to 2500 images) for the identification of male and female chickens based on comb size and body features. …”
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  5. 425

    Solar Irradiance Ramp Classification Using the IBEDI (Irradiance-Based Extreme Day Identification) Method by Llinet Benavides Cesar, Oscar Perpiñán-Lamigueiro

    Published 2025-01-01
    “…We have proposed a methodology including adaptation and extension of a wind ramp classification to solar ramp classification titled the Irradiance-Based Extreme Day Identification method. Our proposal includes an agglomerative algorithm to find new ramp class boundaries. …”
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    Article
  6. 426

    A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model by Wei Shen, Mengqi Liu, Quanshui Lu, Zhaowei Yin, Jin Zhang

    Published 2024-08-01
    “…In order to more accurately and quickly identify and count underwater fish targets, and to address the issues of excessive reliance on manual processes and low processing efficiency in the identification and counting of fish targets using sonar data, a method based on DIDSON and YOLOv5 for fish target identification and counting is proposed. …”
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  7. 427

    The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties by M. Ebrahimi, R. Karami Mohammadi, F. Sharafi

    Published 2020-02-01
    “…Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. …”
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  8. 428

    Coal structure identification method based on three-terminal tuple chart in complex structure area by Jianghai ZOU, Gang XIANG, Yinlan FU, Yongyu YANG, Hengyi ZHAO, Jian ZHENG

    Published 2025-07-01
    “…To address the difficulty in identifying coal body structures in conventional drainage and production wells, based on the logging response characteristics of different coal body structures, this study proposes a quantitative identification method of coal body structure based on three-terminal tuple chart and establishes a three-terminal tuple identification chart for the coal body structure in the study area. …”
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  12. 432

    A Self-Supervised Specific Emitter Identification Method Based on Contrastive Asymmetric Masked Learning by Dong Wang, Yonghui Huang, Tianshu Cui, Yan Zhu

    Published 2025-06-01
    “…Experiments conducted on real-world ADS-B and Wi-Fi datasets demonstrate that the proposed method effectively learns generalized RFF features, and the results show superior performance compared with other SEI methods.…”
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  13. 433
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  15. 435

    A Quick Identification Method of AC andDC Power Supply Systems for Electric Locomotive by ZOU Donghai, GAN Weiwei, GUO Wei, LIN Zhenjun, HUANG Hao, ZHOU Yang, CHEN Ke

    Published 2021-01-01
    “…At present, the common power supply system identification methods mainly include manual identification and network voltage detection device identification. …”
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  16. 436

    USE OF SEQUENCING METHODS FOR SPECIES IDENTIFICATION EXEMPLIFIED BY PHYLOGENETIC RELATIONSHIPS WITHIN GENUS HEDYSARUM L. by D. R. Imachueva, F. K. Serebryanaya, E. M. Machs, V. V. Kotseruba

    Published 2021-12-01
    “…At the moment, a relevant objective in pharmacognosy, is the use of all kinds of the DNA analysis methods for identifying plant materials, detecting counterfeits, genetically modified crops and products.The aim of the research is to study the possibility of using molecular genetic research methods in the analysis of the genus Hedysarum L., for the identification of medicinal plant materials. …”
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  17. 437
  18. 438

    A New Physical Parameter Identification Method for Two-Axis On-Road Vehicles: Simulation and Experiment by Minyi Zheng, Peng Peng, Bangji Zhang, Nong Zhang, Lifu Wang, Yuanchang Chen

    Published 2015-01-01
    “…A new physical parameter identification method for two-axis on-road vehicle is presented. …”
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  19. 439

    A Fault Identification Method of Mechanical Element Action Unit Based on CWT-2DCNN by Hongyu Ge, Yujiao Guo, Tianyu Luo, Manzhi Yang, Chuanwei Zhang

    Published 2022-01-01
    “…Aiming at the problems of low recognition rate and human intervention in the traditional fault diagnosis of mechanical equipment, a fault identification method based on continuous wavelet transform (CWT) and two-dimensional convolutional neural network (2DCNN) is proposed. …”
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  20. 440

    A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry by Wenyun Wang, Xuejun Li, Anhua Chen

    Published 2019-01-01
    “…The data-driven stochastic subspace identification (SSI-Data) method based on the Kalman filter prediction sequence is explored to extract modal parameters from vibration response under unknown excitation. …”
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    Article