A High-Resolution Spectral Analysis Method Based on Fast Iterative Least Squares Constraints by Yanyan Ma, Haixia Kang, Weifeng Luo, Yunxiao Zhang, Lintao Luo

“…High-resolution time–frequency decomposition is one of the key methods for identifying sedimentary layers. …”
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Fault Diagnosis Method of Permanent Magnet Synchronous Motor Demagnetization and Eccentricity Based on Branch Current by Zhiqiang Wang, Shangru Shi, Xin Gu, Zhezhun Xu, Huimin Wang, Zhen Zhang

“…Compared with existing methods, the method proposed in this paper can extract higher-quality fault features, has better diagnostic accuracy, a lower misjudgment rate, and more excellent feature separation ability, demonstrating great potential in intelligent fault diagnosis and maintenance of electric vehicles.…”
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Complete Mode Spectrum Decomposition of Complex‐Structured Light by Computer‐Generated Holography by Yunfei Ma, Zilong Zhang, Yuqi Wang, Hongzhi Yang, Wei He, Lingyu Kong, Suyi Zhao, Xiaotian Li, Yetong Hu, Changming Zhao

“…To the best of the knowledge, this marks the inaugural use of a simple computational hologram method to fully decompose the mode spectrum information, thereby obtaining more crucial intrinsic information about the intermode phases without additional efforts. …”
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Fundamental properties and characteristics of flux distribution tallies using proper orthogonal decomposition by Kondo Ryoichi, Yamamoto Akio, Endo Tomohiro

“…This result indicates that the deterministic method might be more efficient for the snapshot calculation. …”
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Inequity in access to medications among communities in Eastern Ethiopia: a decomposition analysis by Dumessa Edessa, Fekede Asefa Kumsa, Girmaye Dinsa, Lemessa Oljira

“…Finally, we used RIF’s regression decomposition method to identify the significant contributors to the inequity. …”
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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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Enhancing organic waste decomposition with addition of phosphorus and calcium through different sources by Frank Oshioname Unuofin, Msimelelo Siswana

“…A C:N ratio of 12 was achieved within 28 days where TSP was added, while RP, PHA and CaCl2 needed 42, 56 and more than 56 days, respectively. Conclusion It was evidently revealed from the results that P was basically the cause of the improved decomposition of the waste mixtures. …”
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Regional Differences in Agricultural Carbon Emissions in China: Measurement, Decomposition, and Influencing Factors by Jie Huang, Hongyang Lu, Minzhe Du

“…In order to precisely identify the sources of these ACE differences, this study estimates the ACE of China from 2005 to 2020 across four main emission sources and applies the bidimensional decomposition method of the Gini coefficient to measure and decompose their spatial disparities. …”
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Integrated Approach to Ship Electrification Using Fuel Cells and an Ammonia Decomposition System by Onur Yuksel, Eduardo Blanco-Davis, David Hitchmough, G Viknash Shagar, Andrew Spiteri, Maria Carmela Di Piazza, Marcello Pucci, Nikolaos Tsoulakos, Milad Armin, Jin Wang

“…The results indicate that green and pink ammonia feedstocks achieve maximum equivalent carbon dioxide reductions in the electrification plant of up to 47.28% and 48.47%, respectively, compared to H₂-BS and 95.56% and 95.66% compared to the base scenario. Ammonia decomposition systems prove more economically viable than H₂-BS due to lower storage and fuel costs, leading to competitive LCOE values that improve under higher carbon pricing scenarios.…”
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Coupled of Semi Analytic Approach Associated with Laplace Transform First Step for Solving Matrix Differential Equations Quadratic Form when the Time-Delay in Noise Term by Khalid Hammood AL-Jizani

“…       A novel technique and an efficient modification based on Adomian decomposition method and homotopy approach for finding accurately analytic solutions to non-linear (noise term) quadratic matrix retarded delay equations connected with the method of steps to make the problem more easily is discussed. …”
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Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model by Jianhui Li, Jun Huang, Yahui Sun, Guoqiang Li

“…This work presents a novel acceleration method that achieves more efficient convergence of steady-state flow fields. …”
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Developing and applying cubic spline method for the solution of boundary value problems in complex physical and engineering systems by Aasma Khalid, Inamul Haq, Akmal Rehan, M.S. Osman

“…The method starts with a decomposition process that breaks down 11th-order BVPs into a system of second-order BVPs, breaking the problem down into smaller, more manageable parts. …”
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CONSTRUCTION METHOD OF WAVELET BASE BASED ON GAUSSIAN FUNCTION AND ITS APPLICATION IN FAULT DIAGNOSIS OF ROLLING BEARING by WANG Peng, CHENG XiuFang

“…Through the analysis of fault signals of outer ring,inner ring and rolling element of 6205 rolling bearing,the results show that the new wavelet basis can effectively suppress the noise component in the signal,extract fault features,and realize accurate fault diagnosis of rolling bearing. Under the same decomposition conditions,the new wavelet basis can diagnose the running state of rolling bearing more accurately than Gaussian wavelet,so it has higher application value.…”
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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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Ofct: a micro-expression spotting method fusing optical flow features and category text information by Henian Yang, Shucheng Huang, Mingxing Li

“…To address the limitations of existing methods in feature extraction and representation, this paper proposes a micro-expression spotting method that combines Optical Flow features with Categorical Text information (OFCT). …”
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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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Dynamic Monitoring of a Bridge from GNSS-RTK Sensor Using an Improved Hybrid Denoising Method by Chunbao Xiong, Zhi Shang, Meng Wang, Sida Lian

“…The improved hybrid denoising method consists of the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), the detrended fluctuation analysis (DFA), and an improved wavelet threshold denoising method. …”
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A Novel High-Resolution Fully Polarization Nonparametric Spectrum Estimation Method for Forest SAR Tomography by Youjun Wang, Xing Peng, Qinghua Xie, Yanan Du, Bing Zhang, Xiaomin Luo, Weijun Yan, Xinwu Li

“…The results demonstrate that the new method has more advantages than other methods in forest tomographic focusing and parameters estimation.…”
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