On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan by E. G. Orudzhev, S. M. Huseynova

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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

“…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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Income Inequalities Between Women And Men In Selected European Countries by Trzcińska Kamila

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Traffic congestion forecasting using machine learning methods by Ramil R. Zagidullin, Almaz N. Khaybullin

“…Materials and methods. To identify patterns in the data, additive time series decomposition, spectral analysis based on the fast Fourier transform, and autocorrelation analysis were applied. …”
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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

“…L2 regularization transfer learning is utilized to mitigate the overfitting problem and to improve the model’s adaptability in diverse working conditions, especially in scenarios with limited labeled data. …”
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HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer by Yao Sun, Jing Gao

“…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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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

“…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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DEVELOPMENT OF THE METHODS FOR RESOURCE REALLOCATION IN CLOUD COMPUTING SYSTEMS by Viacheslav Davydov, Daryna Hrebeniuk

“…The subject matter of the article is development of the models and methods of load and resource balancing and reallocation in cloud computing systems based on the infrastructure as a service model. …”
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Novel Control Method for the MMC Connected to Wind Farms by Xiangyu Pei, Caoyang Jia, Feng Ji, Hui Pang, Guangfu Tang

“…Finally, an electromagnetic transient simulation model is built with PSCADIEMTDC, and the efficacy and practicality of the proposed method are demonstrated through extensive simulation experiments.…”
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Statistical analysis of gender pay gap in modern-day Russia by I. I. Eliseeva, M. Р. Dekina

“…On the base of the constructed models, the gender difference in wages was decomposed.  …”
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Effects of population aging on quality of life and disease burden: a population-based study by Jun-Yan Xi, Bo-Heng Liang, Wang-Jian Zhang, Bo Yan, Hang Dong, Yuan-Yuan Chen, Xiao Lin, Jing Gu, Yuan-Tao Hao

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Singular-spectral climate models by Belashev Boris

“…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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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

“…A multiphase induction machine model using vector space decomposition provides insights into many space harmonics through decoupled reference frames. …”
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A decomposable multi-period mixing algorithm for long-term load forecasting by Qi Cheng, Jing Shi, Siwei Cheng

“…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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Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD by ZHANG Dongxing, YANG Gang, ZHOU Ao, QIN Limu, WEI Yuqian, YAN Lei

“…Through the experimental analysis, it can be seen that the VMD analysis method of optimizing parameters can effectively find the characteristic frequency of bearing faults, and by comparing the EMD analysis method, it can be found that the analysis method proposed in this paper is more effective.…”
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Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

“…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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Analysis of Wind Power Fluctuation in Wind Turbine Wakes Using Scale-Adaptive Large Eddy Simulation by Jagdeep Singh, Jahrul M Alam

“…The proper orthogonal decomposition method was employed to extract the most energetic contributions to the wind power spectra. …”
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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

“…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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POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

“…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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An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

“…This study integrates sequential variational mode decomposition (SVMD), a dual-parameter (DP) model, and an improved wavelet threshold function (IWT), presenting a denoising method termed SVMD-DP-IWT. …”
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