A Decomposition-Based Harmony Search Algorithm for Multimodal Multiobjective Optimization by Wei Xu, Weifeng Gao, Qianlong Dang

“…Then, an environmental selection method based on greedy selection is designed to dynamically adjust the subpopulation scale for keeping the population diversity. …”
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Methodical Approach to the Formation of the Forecast Labor Intensity of the Development (Modernization) of Complex Technical Systems by Alexander G. Podolsky, Alexey V. Babkin

“…His presentation is based on the system analysis and decomposition methods of complex technical systems and synthesis of their constituent parts at different levels of decomposition. …”
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Preparation of black-titanium dioxide nanotubes by thermal decomposition of sodium borohydride by Murat Efgan Kibar

“…Although the titanium dioxide exhibits superior proper-ties in ultra violet radiation, activity of the catalyst can be improved by some modifications specially for daylight radiation. Titanium dioxide was colored by thermal decomposition of sodium borohydride at 400 0C. …”
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A Three-Dimensional Coverage Path Planning Method for Robots for Farmland with Complex Hilly Terrain by Hanbing Jiang, Ping Yang

“…In this paper, for the full-coverage path-planning problem of hilly terrain farmland, based on analyzing the terrain characteristics of hilly farmland and the energy consumption model of robots traveling on non-flat ground, we propose a region decomposition method oriented to special terrain and prioritize the coverage of special terrain areas. …”
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Color Consistency Anime Style Transfer Based on Hybrid Structural Decomposition Network by Jun Zhang, Yunhua Zhang

“…Experimental results demonstrate that our proposed model not only visually generates anime characters with realistic styles but also achieves superior performance in terms of Style FID and Semantic FID compared with state-of-the-art methods.…”
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Computational thinking in the context of higher education: Analytical review by E. K. Khenner

“…This specificity is manifested at the level of the list of cognitive and non-cognitive skills associated with computational thinking, requirements for the level of their development and assess­ment methods. In computational thinking, cognitive skills include abstraction, decomposition, pattern recognition, algorithmisation, visualisation, logical thinking, communicative competence, the ability to present, structure and analyse data, and some others skills. …”
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Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting by Maissa Taktak, Faouzi Derbel

“…Our approach employs computationally efficient convolution-based filters—uniform and binomial—with varying window sizes to separate these components for specialized processing. Experiments on two real-world datasets at different temporal resolutions (1 min and 15 min) demonstrate significant improvements over state-of-the-art methods. …”
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Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

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Urban-rural disparities in skilled birth attendance among women in Ethiopia: Multivariate decomposition analysis. by Tsegereda Abebe Andargie, Emebet Birhanu Lealem, Betelhem Abebe Andargie

“…Thus, this study aims to assess the urban-rural disparity in skilled birth attendance in Ethiopia using the 2019 Ethiopian mini demographic health survey.<h4>Methods and materials</h4>The study was based on data obtained from demographic and health surveys in Ethiopia. …”
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Geny: a genotyping tool for allelic decomposition of killer cell immunoglobulin-like receptor genes by Qinghui Zhou, Mazyar Ghezelji, Ananth Hari, Ananth Hari, Michael K. B. Ford, Connor Holley, S. Cenk Sahinalp, Ibrahim Numanagić

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Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction by L. Raymond Guo, Jifu Tan, M. Courtney Hughes

“…Machine learning offers powerful tools but can be computationally expensive and require specialized knowledge. Dynamic mode decomposition (DMD) is an alternative that offers efficient analysis with fewer resources. …”
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Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…By studying the selection of preconditioning matrix structure and the number of filling levels of ILU decomposition, the preconditioning matrix structure of “main coupling type” is proposed and ILU(5) is selected as suitable preconditioning for this research, which improves the efficiency of NK method for solving linear equations. …”

Robust Stability of Neutral System with Mixed Time-Varying Delays and Nonlinear Perturbations Using Delay Decomposition Approach by Fang Qiu, Quanxin Zhang

“…A numerical example illustrates the effectiveness of the derived method and the improvement over some existing methods.…”
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Real Time Cardan Shaft State Estimation of High-Speed Train Based on Ensemble Empirical Mode Decomposition by Cai Yi, Jianhui Lin, Tengda Ruan, Yanping Li

“…In this study a useful estimation method based on ensemble empirical mode decomposition (EEMD) is presented. …”
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Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations by Alfi Bella Kurniati, Maharani A. Bakar, Nur Fadhilah Ibrahim, Hanani Farhah Harun

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A theoretical study on the decomposition of TKX-50 with different vacancy defect concentrations under shock wave loading by Jun-qing Yang, Zhi-wei Guo, Xiao-he Wang, Ga-zi Hao, Yu-bing Hu, Xiao-jun Feng, Rui Guo, Wei Jiang

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A multiple pattern complex event detection scheme based on decomposition and merge sharing for massive event streams by Jianhua Wang, Bang Ji, Feng Lin, Shilei Lu, Yubin Lan, Lianglun Cheng

“…Quickly detecting related primitive events for multiple complex events from massive event stream usually faces with a great challenge due to their single pattern characteristic of the existing complex event detection methods. Aiming to solve the problem, a multiple pattern complex event detection scheme based on decomposition and merge sharing is proposed in this article. …”
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Decomposition analysis of public health service utilization and health disparities among urban and rural older adult migrants in China by Bo Dong, MengHan Jiang, Jing Zong

“…Finally, the Blinder–Oaxaca decomposition method was used to quantify the extent to which various factors contributed to urban–rural disparities in health service utilization and health outcomes.ResultsRural older adult migrants exhibited slightly higher utilization rates of public health services—health education, health records, and family doctor contracting—compared to their urban counterparts. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Initial statistical tests revealed significant nonstationarity and nonlinearity in the data, prompting the adoption of specialized modeling techniques. Using variational mode decomposition (VMD), the raw time series was decomposed into interpretable components, enhancing feature representation and understanding of temperature dynamics. …”
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Recovering low‐rank tensor from limited coefficients in any ortho‐normal basis using tensor‐singular value decomposition by Shuli Ma, Jianhang Ai, Huiqian Du, Liping Fang, Wenbo Mei

“…Our work covers the existing t‐SVD‐based tensor completion problem as a special case. We conduct numerical experiments on random tensors and dynamic magnetic resonance images (d‐MRI) to demonstrate the performance of the proposed methods.…”
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