Exploring the association between socioeconomic inequalities in chronic respiratory disease and all-cause mortality in China: findings from the China Health and Retirement Longitud... by Zhuo Zhang, Guoshuai Shi, Faguang Jin, Yan Zhang

“…The concentration index was employed to measure socioeconomic-related inequality in CRD, and the concentration index decomposition method was used to describe its influencing factors. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. …”
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Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

“…With further development, this method is expected to serve as a foundational model for the advancement of diagnostic tools for physicians.…”
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Метрики цифровой зрелости бизнеса в пределах микро-, мезо- и макроконтуров взаимодействия by Евгения Нигай

“…Materials and Methods. The article refers to the methods of systematization and generalization of information, comparative analysis, logical and structural decomposition and modeling. …”
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Multimodal medical image fusion combining saliency perception and generative adversarial network by Mohammed Albekairi, Mohamed vall O. Mohamed, Khaled Kaaniche, Ghulam Abbas, Meshari D. Alanazi, Turki M. Alanazi, Ahmed Emara

“…Compared to state-of-the-art methods, the framework achieves an 11.378% improvement in fusion accuracy and a 12.441% enhancement in precision. …”
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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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Machine-Learning Assisted Prediction of Spectral Power Distribution for Full-Spectrum White Light-Emitting Diode by Jiajie Fan, Yutong Li, Irena Fryc, Cheng Qian, Xuejun Fan, Guoqi Zhang

“…This paper proposes a dynamic SPD prediction method for the full-spectrum white LED by integrating the SPD decomposition approach with the artificial neural network (ANN) based machine learning method. …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…Obtained KAN classification accuracy and computational efficiency are evaluated compared to SNN, highlighting its strengths in modelling complexity with optimized key model parameters. …”
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Study of the mechanical properties of double line pipelines under silty sandstone and pipeline coupling by Cun-dong Xu, Wen-hao Han, Jin-xi Xia, Jun-kun Nie, Jun Cao, Zhi-hang Wang

“…The results of the study show that the relative error between the intrinsic mode of the finite element model of the double-line pipeline and the frequency identified by the dispersion entropy variational mode decomposition (DVMD) method on the measured vibration signals is only 1.55%, which confirms the validity of the finite element model and the accuracy of the results. …”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.ResultsThe findings indicate that black gram production and price dynamics are influenced by multiple factors. …”
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TECHNIQUE AND SOFTWARE FOR PROJECT PROPOSALS EXPERT ASSESSMENT OF AVIATION AND ROCKETRY PRODUCTS by S. G. Parafes, O. G. Feoktistova

“…The essence of an expert assessment as a scientific method is a rational organization of experts analyzing the problem from a quantitative evaluation of judgments and results processing. …”
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Numerical Investigation on Gas Production Performance in Methane Hydrate of Multilateral Well under Depressurization in Krishna-Godavari Basin by Xin Xin, Si Li, Tianfu Xu, Yilong Yuan

“…One of the key points in improving the gas production effectiveness of depressurization is whether pressure gradient could transmit in strata effectively. Single well method is widely used in hydrate exploit which is circumscribed in expanding the range of hydrate decomposition. …”
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Solvolytic recycling of unsaturated polyester resin-based sheet moulding composites [version 1; peer review: 1 approved, 2 approved with reservations] by Mark Roelands, Richard van Someren, Annemieke van de Runstraat, John van de Moosdijk

“…This paper investigates a broad scope of reaction conditions for the solvolysis of SMC’s based on unsaturated polyester resins (UPR). Methods The Hansen Solubily Parameter theory was used to model and select prospective solvents for the project. …”
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Improving Deep Learning for Forecasting Accuracy in Financial Data by Shih-Lin Lin, Hua-Wei Huang

“…The proposed method combines deep learning with empirical mode decomposition (EMD) to understand and predict financial trends from financial data. …”
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Fault Diagnosis of Oil Pumping Machine Retarder Based on Sound Texture-Vibration Entropy Characteristics and Gray Wolf Optimization-Support Vector Machine by Shutao Zhao, Ke Chang, Erxu Wang, Bo Li, Kedeng Wang, Qingquan Wu

“…Secondly, the K parameter of variational mode decomposition (VMD) was reasonably selected by the energy method, and then the vibration signal was decomposed to get modal components, and the permutation entropy was obtained from modal components. …”
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Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen, Xiaoguang Xu

“…The widely adopted linear mixing model enables the decomposition of mixed pixels into constituent endmembers, effectively bridging spectral resolution gaps by retrieving the spectral properties of individual land cover types. …”
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Tracking 35 years of progress in metallic materials for extreme environments via text mining by Xin Wang, Anshu Raj, Yanqing Su, Shuozhi Xu, Kun Lu

“…Here we track the progress of metallic materials for extreme environments in the past 35 years using the text mining method, which allows us to discover patterns from a large scale of literature in the field. …”
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FDAE: Lightweight Privacy Protection Based on Face Detection and Image Encryption by Li You, Qianqian Liu, Shuai Li, Tianyu Yang

“…This approach achieves detection accuracies of 96.4% (Easy), 94.8% (Medium), and 90.3% (Hard) categories, representing improvements of 1.3%, 1.4%, and 4.8% over the baseline YOLOv7 model, respectively. Subsequently, a lightweight encryption method, which combines Logistic and PWLCM chaotic systems with DNA encoding, is applied to the detected facial regions. …”
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Forecasting research of mixing uniformity of cerium chloride solution under microwave heating by Lv Chao, Liu Yanlong, Zhang Lu Lu

“…The selected forecast model saves time and energy and can accurately forecast the above situation. …”
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Iterative Syndrome-Based Deep Neural Network Decoding by Dmitry Artemasov, Kirill Andreev, Pavel Rybin, Alexey Frolov

“…We illustrate that the described approach achieves exceptional performance results and is applicable for iterative codes with larger code lengths <inline-formula> <tex-math notation="LaTeX">$[n=4096, k=2025]$ </tex-math></inline-formula>, compared to state-of-the-art DNN-based methods. Finally, we address the issues of computational complexity and memory requirements of DNN-based decoding by analyzing the model&#x2019;s compression limits through pruning and matrix decomposition methods.…”
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