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    RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION by LI AnHong, ZHU JunHua, YU Ling

    Published 2024-08-01
    “…In order to quickly and accurately evaluate the reliability of mechanical seals,the three⁃parameter Weibull distribution was used to model the mechanical seal failure data.The reliability evaluation problem of mechanical seal was transformed into a constraint optimization problem,and a reliability evaluation method based on artificial hummingbird algorithm(AHA)was proposed.Through numerical simulation and case analysis,maximum likelihood estimation(MLE),improved Harris Hawks optimization(IHHO)algorithm and AHA were used to compare calculation accuracy and operational efficiency in solving the Weibull distribution parameter estimation problems.The results show that the parameter estimation using AHA has advantages of faster convergence speed and higher accuracy,and it can shorten the optimization time and improve the accuracy compared with MLE algorithm and IHHO algorithm,which provides a new and efficient method for Weibull parameter estimation of mechanical seals.…”
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  4. 64

    The Wigner-Ville Distribution Based on the Linear Canonical Transform and Its Applications for QFM Signal Parameters Estimation by Yu-E Song, Xiao-Yan Zhang, Chun-Heng Shang, Hong-Xia Bu, Xiao-Yan Wang

    Published 2014-01-01
    “…Also the new algorithm only has fourth-order nonlinearity thus it has accurate estimation and low signal-to-noise ratio (SNR) threshold. …”
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    Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture by Bing Chen, Yongjun Zhang, Jinsong Wu, Hongyuan Yuan, Fang Guo

    Published 2025-03-01
    “…Lastly, this study used the cross-attention mechanism to fuse the Transformer and GRU neural networks, which constructed a Transformer-GRU parallel model to improve its ability to mine time-dependent features and global features for state of health estimation. …”
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  7. 67

    A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

    Published 2025-04-01
    “…Multiple algorithms, including piecewise linear regression (PLR), artificial neural networks (ANN), partial least squares regression (PLSR), support vector regression (SVR), and random forest (RF), were utilized to predict the ash yield in coal. …”
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    The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error by Ziran Luo, Chenglin Wen

    Published 2025-01-01
    “…To address this challenge, this paper proposes a novel estimation algorithm that explicitly accounts for the UT truncation error. …”
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  9. 69

    Applying Canny edge detection and Hough transform algorithms to identify irrigation channel boundaries in irrigation districts by LU Hongfei, MAO Hanyu, ZHOU Hao, ZHEN Bo, ZHONG Yao, YANG Bo

    Published 2025-05-01
    “…The Canny edge detection algorithm was applied to extract edges, followed by the Hough transform to identify and segment channel boundary lines. …”
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  10. 70

    Hyperspectral Estimation of Tea Leaf Chlorophyll Content Based on Stacking Models by Jinfeng Guo, Dong Cui, Jinxing Guo, Umut Hasan, Fengqi Lv, Zixing Li

    Published 2025-05-01
    “…In this study, derivative transformations were first applied to preprocess the tea hyperspectral data, followed by the use of the Stable Competitive Adaptive Reweighted Sampling (SCARS) algorithm for feature variable selection. …”
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  11. 71

    Python algorithm package for automated Estimation of major legume root traits using two dimensional images by Amit Ghimire, Yong Suk Chung, Sungmoon Jeong, Yoonha Kim

    Published 2025-03-01
    “…Distance transform method was used for estimating SA, AD, and RV and ConnectedComponentsWithStat function for TRL estimation. …”
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  12. 72

    Coherent DOA Estimation of Multi-Beam Frequency Beam-Scanning LWAs Based on Maximum Likelihood Algorithm by Yifan Yang, Rihui Zeng, Qingqing Zhu, Weijin Fang, Biyun Ma, Yide Wang

    Published 2025-06-01
    “…Finally, a maximum likelihood algorithm based on the stochastic principle (Sto-ML) is used to suppress the interference of the parasitic directions and select the final DOA estimates from the candidate angle set. …”
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  13. 73

    Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach by María Elena Domínguez-Jiménez, David Luengo, Gabriela Sansigre-Vidal

    Published 2015-01-01
    “…We focus on systems employing the Discrete Cosine Transform Type-I (DCT1) even at both the transmitter and the receiver, presenting an algorithm which achieves an accurate estimation of symmetric channel filters using only a small number of training symbols. …”
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  14. 74

    New Channel Estimation Algorithm for Non-Sample-Spaced Channels in Fast Time-Varying OFDM System by 刘顺兰, 汪佳丽

    Published 2015-09-01
    “…The algorithm combined complex exponential basis expansion model and the feedback of DFT(discrete fourier transform), which was built according to the fraction taps channel approximation.The channel parameters were firstly estimated with the complex exponential basis expansion model based on the fraction taps channel approximation.Then the ICI in fast time-varying OFDM system could be calculated according to the estimated channel parameters. …”
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  15. 75

    New Channel Estimation Algorithm for Non-Sample-Spaced Channels in Fast Time-Varying OFDM System by 刘顺兰, 汪佳丽

    Published 2015-09-01
    “…The algorithm combined complex exponential basis expansion model and the feedback of DFT(discrete fourier transform), which was built according to the fraction taps channel approximation.The channel parameters were firstly estimated with the complex exponential basis expansion model based on the fraction taps channel approximation.Then the ICI in fast time-varying OFDM system could be calculated according to the estimated channel parameters. …”
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    Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors by Pengfei SUN, Jun QIN

    Published 2016-06-01
    “…A minimum mean-square error (MMSE) estimator is obtained based on the generalized gamma distribution speech model in WPT domain. …”
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    TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

    Published 2025-04-01
    “…A flood optimization algorithm (FLA) is used to establish a hyperparameter collaborative optimization framework. …”
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    Adversarial Sample Generation Method Based on Frequency Domain Transformation and Channel Awareness by Yalin Gao, Dongwei Xu, Huiyan Zhu, Qi Xuan

    Published 2025-06-01
    “…The experimental results show that SDRNet is superior to traditional algorithms (such as the least square method, minimum mean square error estimation, etc.) in both mean square error and bit error rate. …”
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