Decomposition analysis of disparities in infant mortality rates across 27 US states by Benjamin Sosnaud

“…I use linear regression to explore state-level predictors of variation in the second decomposition component. RESULTS: In 7 of the 18 sample states with IMRs higher than the rest of the United States, led by Louisiana, South Carolina, and Georgia, more than 50% of this disparity can be attributed to the proportion of births from high-risk sociodemographic groups. …”
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A Spatial–Temporal Time Series Decomposition for Improving Independent Channel Forecasting by Yue Yu, Pavel Loskot, Wenbin Zhang, Qi Zhang, Yu Gao

“…In addition, since the overall performance is usually dominated by a few of the weakest predictors, it is shown that the forecasting accuracy can be further improved by reordering the corresponding channels to make more correlated channels more adjacent. However, channel reordering requires retraining the affected predictors. …”
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The Relationship Between Production Efficiency and Factor Allocation Efficiency: A Case Study Based on Thermal Power in China by Tingyang Huang, Xiongfei Zhao, Shuangjie Li, Fang Liu

“…This paper introduces a novel decomposition method for analyzing production efficiency based on the Data Envelopment Analysis framework, addressing the limitations of traditional approaches that often fail to isolate the contributions of individual factors. …”
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Flood Frequency Analysis of Feilaixia in Beijiang River Based on Empirical Mode Decomposition Reconstruction by WANG Jin, LI Xiangjiao, WANG Huan

“…The frequency calculation method based on empirical mode decomposition (EMD) and synthesis was used to analyze and calculate the flood frequency. …”
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Flood Frequency Analysis of Feilaixia in Beijiang River Based on Empirical Mode Decomposition Reconstruction by WANG Jin, LI Xiangjiao, WANG Huan

“…The frequency calculation method based on empirical mode decomposition (EMD) and synthesis was used to analyze and calculate the flood frequency. …”
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The Fault Diagnosis of Rolling Bearing Based on Ensemble Empirical Mode Decomposition and Random Forest by Xiwen Qin, Qiaoling Li, Xiaogang Dong, Siqi Lv

“…The results of the comparison show that the EEMD method is more accurate than the wavelet method.…”
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NONLINEAR ANALYSIS OF BEARING SIGNAL BASED ON IMPROVED VARIATIONAL MODAL DECOMPOSITION AND MUTI FRACTAL by JIN JiangTao, XU ZiFei, LI Chun, MIAO WeiPao, ZHANG WanFu, LI Gen

“…The results show that the signal extracted by the IVMD-NFE method can filter out noise to a greater extent and has lower fractal box dimension, and the extracted nonlinear characteristics are more representative; The fault signals of bearing exhibit multi-fractal features, the outer ring fault has the largest singularity index and strongest nonlinearity, and the cage fault is the smallest and weakest nonlinearity, indicating that the complexity of the data can better reflect the running state of the bearing. …”
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Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog by Jun Pan, Huizhang Shen, Zhong Chen

“…So, in this paper, we aim at introducing K-Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user’s actions when mass incident happens. …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…The generalized Benders decomposition method is used to decompose the model into main problem and sub-problems, the main problem is solved iteratively by linear evaluation, and the sub-problems are solved iteratively by interior point method. …”
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Numerical Study of Flame Propagation Morphology for Deflagration in the Pipeline Using Proper Orthogonal Decomposition by Weimin Wu, Jianyao Yao, Jingcheng Liu, Zejun Wu, Jiawen Liu

“…A multilevel independent spatial modal analysis of flame propagation characteristics of a deflagration in a specific pipeline was performed using the proper orthogonal decomposition (POD) method, in order to research the evolution process of the explosion which is closely related to flame propagation speed and front rupture pressure. …”
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Catalytic Effect of Ni and Cu Embedded Graphene Surface on SO2 Decomposition Reaction by Aykan Akça

“…SO2 decomposition reaction on Ni and Cu embedded graphene surfaces were investigated using density functional theory. …”
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DECOMPOSITION OF KAZAKHSTAN’S ECONOMIC GROWTH AND MODELING OF LABOR, CAPITAL AND TOTAL FACTOR PRODUCTIVITY CONTRIBUTIONS by S. N. Alpysbayeva, S. Zh. Shuneyev, G. V. Stroyeva

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Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition by Jibing Wu, Lianfei Yu, Qun Zhang, Peiteng Shi, Lihua Liu, Su Deng, Hongbin Huang

“…Community discovery is an effective method to extract the hidden structures in networks. …”
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GNSS signal-to-noise snow depth inversion based on robust empirical mode decomposition by Dengao Li, Xinyu Luo, Jumin Zhao, Fanming Wu, Hairong Jiang, Danyang Shi

“…In order to make the inversion results more accurate, this paper proposes a robust empirical mode decomposition (REMD) based method. …”
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Block-Based Multicut Benders Decomposition Algorithm for Transmission and Energy Storage Co-Planning by Edimar José de Oliveira, Arthur Neves de Paula, Leonardo Willer de Oliveira, Leonardo de Mello Honório

“…This division makes it possible to use parallel computation methods to solve each block simultaneously, reducing the simulation time, which allows the use of a more extensive time window to model the variability of random variables of the system, such as wind and load. …”
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Stock Market Index Prediction Using CEEMDAN-LSTM-BPNN-Decomposition Ensemble Model by John Kamwele Mutinda, Abebe Geletu

“…The findings highlight the importance of combining advanced decomposition methods and deep learning models for financial forecasting. …”
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Central budget allocation regime and total factor productivity in Vietnam: a decomposition approach by Dao Van Le, Tuyen Quang Tran

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Preparation of Palladium-Impregnated Ceria by Metal Complex Decomposition for Methane Steam Reforming Catalysis by Worawat Wattanathana, Suttipong Wannapaiboon, Chatchai Veranitisagul, Navadol Laosiripojana, Nattamon Koonsaeng, Apirat Laobuthee

“…Palladium-impregnated ceria materials were successfully prepared via an integrated procedure between a metal complex decomposition method and a microwave-assisted wetness impregnation. …”
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Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin... by Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei

“…Additionally, the effectiveness of the suggested model (HPFE-ETR) was assessed and contrasted with two common methods, Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD) and Variational Mode Decomposition (VMD), both of which were combined with ETR. …”
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Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition by Yuan Xie, Tao Zhang

“…EMD energy entropy is calculated using the first few intrinsic mode functions (IMFs) which contain more energy. With features extracted from both methods combined, classification models are trained for diagnosis. …”
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