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  1. 741

    Identification of the minimum set of inertial parameters of human body segments using a method applying free vibration measurements by Takahiro HOMMA, Hiroshi YAMAURA

    Published 2025-02-01
    “…Thus, an accurate identification method of inertial properties is crucial. …”
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    Detecting olive oil counterfeiting by dilution with rapse and sunflower oils according to the triacyl glyceride profile using the method of gas chromatography by D. D. Zhdanov, E. A. Butina, I. A. Dubrovskaya, S. A. Ilyinova, A. Y. Shazzo

    Published 2023-02-01
    “…Considering that traditional indicators of identification of vegetable oils do not allow to detect such falsification; it is relevant to search for new objective indicators and methods for identifying olive oils. …”
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    Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

    Published 2025-08-01
    “…While baseline palmprint and fingerprint systems exhibit varying classification rates. Our feature fusion method achieves a consistent 99.29% identification rate across diverse classifiers. …”
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  14. 754

    A study of short-term wind power segmentation forecasting method considering weather on ramp segments by Chunxiang Yang, Guodong Wu, Guodong Wu, Yongrui Zhang, Guangqing Bao, Jianhui Wang

    Published 2024-10-01
    “…A time-series trend extraction method based on moving average iteration is proposed on the full-time period to analyze the real-time change characteristics of power time-series initially; secondly, a ramp segment extraction method based on its definition and identification technique is proposed based on the results of the trend extraction; and a segmentation prediction scheme is proposed to lean the power prediction under different time-series: the LightGBM-LSTM is proposed for the non-ramping segment using point prediction, and the CNN-BiGRU-KDE is proposed for probabilistic prediction of ramp segments. …”
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    Rolling Bearing Degradation Identification Method Based on Improved Monopulse Feature Extraction and 1D Dilated Residual Convolutional Neural Network by Chang Liu, Haiyang Wu, Gang Cheng, Hui Zhou, Yusong Pang

    Published 2025-07-01
    “…To address the challenges of extracting rolling bearing degradation information and the insufficient performance of conventional convolutional networks, this paper proposes a rolling bearing degradation state identification method based on the improved monopulse feature extraction and a one-dimensional dilated residual convolutional neural network (1D-DRCNN). …”
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  20. 760

    An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy by Yufeng Lu, Chenglou Liu, Haichao Hong, Yunwei Huang, Tingwei Ji, Fangfang Xie

    Published 2024-10-01
    “…This article presents a novel online method based on sparse identification of nonlinear dynamics (SINDy) approach to achievement identification of thermal sources in the atmosphere. …”
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