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    Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

    Published 2023-11-01
    “…Further work will now involve the application of various other machine learning methods in an attempt to assess and identify the most appropriate machine learning method with DWS that proves to be the most accurate.…”
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    Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

    Published 2025-07-01
    “…Furthermore, a Bayesian Optimization with Tree-structured Parzen Estimators (BO-TPE) will be used to tune the hyperparameters of the models. The results showed that using Variational Mode Decomposition (VMD) allied with Singular Spectrum Analysis (SSA) to feed into a conformal prediction model improved the performance of the model. …”
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    Urban-Rural Disparities in Depressive Symptoms Among Employed Individual: Education Plays an Important Role by Xie C, Zhao Z, Gao L, Yuan L, Liu L

    Published 2025-02-01
    “…The Fairlie decomposition method was employed to investigate the impact of education level and other influencing factors on the urban-rural differences in the occurrence of depressive symptoms.Results: The proportion of depressive symptoms among employed persons in China was 14.51%. …”
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  9. 809

    Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization by Misbah Iqbal, Carman K. M. Lee, Kin Lok Keung, Zhonghao Zhao

    Published 2024-11-01
    “…Moreover, it performs significantly better than classical methods like SVM, RF, and CNN-based networks found in the literature, demonstrating the improved performance of our approach in fault diagnosis under varying working conditions and proving its applicability in real-world applications.…”
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  10. 810

    HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer by Yao Sun, Jing Gao

    Published 2025-02-01
    “…HGATLink combines the heterogeneous graph attention network and simplified transformer to capture complex interactions effectively between genes in low-dimensional space via matrix decomposition techniques, which not only enhances the ability to model complex heterogeneous graph structures and alleviate transitive interactions, but also effectively captures the long-range dependencies between genes to ensure more accurate prediction. …”
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  11. 811

    The relationship between self-efficacy, health literacy, and quality of life in patients with chronic diseases: a cross-sectional study in China by Ying’e Gao, Yujia Zheng, Yuanyuan He, Jingjing Lin, Fangyi Liu, Jie Fu, Rongjin Lin, Rongjin Lin

    Published 2024-09-01
    “…Additionally, the four-way decomposition method was used to decompose the overall effects of self-efficacy and health literacy on the QoL in patients with chronic diseases.ResultsSignificant correlations were found between self-efficacy, health literacy, and QoL among individuals with chronic diseases (all p < 0.05). …”
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  12. 812

    Statistical analysis of gender pay gap in modern-day Russia by I. I. Eliseeva, M. Р. Dekina

    Published 2019-11-01
    “…Particular attention is paid to the econometric approach to gender differences in wages.  Materials and methods. As the main sources of information were data from the Federal State Statistics Service. …”
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    Singular-spectral climate models by Belashev Boris

    Published 2025-01-01
    “…In this paper, the singular spectrum analysis method is used to construct data models for the Onega Lake basin: time series of air temperature, precipitation, and runoff of the Shuya, Suna, and Vodla rivers. …”
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  15. 815

    A decomposable multi-period mixing algorithm for long-term load forecasting by Qi Cheng, Jing Shi, Siwei Cheng

    Published 2025-09-01
    “…Thirdly, a probabilistic forecasting method is proposed on the basis of this model. This method utilizes a residual simulation technique to quantify the uncertainty of LTLF, effectively complementing the point forecasting results. …”
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  16. 816

    Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

    Published 2025-06-01
    “…By leveraging tensor to model state-action values and employing tensor decomposition techniques for dimensionality reduction, this method effectively reduces model parameters and communication overhead while maintaining strong interpretability, accelerates algorithm convergence speed. …”
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    Aeroelastic Oscillations of Cantilever Beams Reinforced by Carbon Nanotubes Based on a Modified Third-Order Piston Theory by Mehdi Alimoradzadeh, Francesco Tornabene, Rossana Dimitri

    Published 2025-08-01
    “…A modified third-order piston theory is used as an accurate tool to model the supersonic air flow, rather than a first-order piston theory. …”
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    POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

    Published 2025-01-01
    “…The method employs proper orthogonal decomposition (POD) to extract dominant spatial and temporal modes from simulation data, thereby reducing the parametric complexity even when training data are limited. …”
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    Equivalent Circuit Parameter Measurement of Multiphase Induction Machine by Exploitation of Space Harmonic Relations by Omer Ikram Ul Haq, R. S. Kanchan, Sjoerd G. Bosga, Luca Peretti

    Published 2025-01-01
    “…A multiphase induction machine model using vector space decomposition provides insights into many space harmonics through decoupled reference frames. …”
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    Optimization and engineering verification of excitation scheme for aircraft ground vibration test by CHEN Haoyu, WANG Binwen, SONG Qiaozhi, LI Xiaodong

    Published 2024-10-01
    “…In this paper,QR decomposition based on the finite element model is used for global planning of exciter placement,and mode participation is introduced to evaluate the plan's exciting efficiency. …”
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