Investigating inequality of childhood obesity in Bangladesh: a decomposition analysis by Abdur Razzaque Sarker

“…A regression-based decomposition method was applied to assess the socioeconomic contributors to inequality in childhood obesity. …”
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Adaptive weighted progressive iterative approximation based on coordinate decomposition. by Yushi Liu, Yan Wang, Chengzhi Liu

“…During the iteration, the weight coefficients are flexibly adjusted based on the error of the current iteration step, demonstrating the flexibility and precision of the geometric iterative method in addressing geometric approximation problems. …”
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A method based on clustering fast search for bearing performance degradation assessment by ShengWen Zhou, Li Zhang, Xiaoming Yang, Fan Xu, BaiGang Du, RuiPing Luo, Wenhui Zeng

“…The results show that CFS outperforms other clustering methods and models, including root mean square, kurtosis, Shannon entropy, approximate entropy, and permutation entropy, detecting early-stage degradation more precisely.…”
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Wavelet Decomposition Prediction for Digital Predistortion of Wideband Power Amplifiers by Shaocheng Peng, Jing You

“…Experimental results demonstrate the effectiveness of our proposed method, achieving the best ACPR and EVM performance on the OpenDPD dataset.…”
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STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…In addition,the paper redefined a more conveniently calculated sensitivity indice that can achieve effective decomposition for the high-order sensitivity indices,and the sensitivity results directly corresponded to model variables without the high-order indices,which had more practical engineering significance. …”
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INVESTIGATION OF HYDROCARBON CONTAMINANTS DESTRUCTING MICROORGANISMS AS A METHOD OF WATER PURIGICATION INTENSYING by Irina I. Ivanenko, Antonina M. Novikova, Elena Y. Lapatina

A Three-Component Polarimetric Target Decomposition Algorithm for Grasslands by Baokun Liu, Xiaoqi Lv, Xiujuan Li, Xiangli Yang, Pingping Huang, Weixian Tan, Yongguang Zhai, Yuejuan Chen, Kunpeng Xu

“…Previous polarimetric target decomposition methods have been widely used in forests and buildings and have achieved good results. …”
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A Fast Learning Method for Multilayer Perceptrons in Automatic Speech Recognition Systems by Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su

“…Weight matrices of the preadjusted MLP are restructured by a method based on singular value decomposition (SVD), reducing the dimensionality of the MLP. …”
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A load margin calculation method considering optimized reactive power support by Yuejian Wu, Xiaoming Dong, Tianguang Lu, Shunxiang Yu, Chengfu Wang, Zhengshuo Li

“…Employment of the LU decomposition method allows the CPF predictor coupling with the sensitivity calculation of voltage to reactive power changes (VQ Sensitivity), decreasing the computational burden in identifying the limit-induced bifurcation (LIB). …”
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A spatial bearing fault classification method based on improved APSMOTE-WKMFA by CHEN Chao, YANG Chenhao, XU Haosen, WAN Ouying, HAN Liling

“…Aiming at the problem of poor classification performance of a model for a few classes of fault samples in the case of category imbalance, the spatial bearing fault classification method based on an improved affinity propagation synthetic minority oversampling technique-wavelet kernel marginal Fisher analysis （APSMOTE-WKMFA） was proposed.MethodsFirstly, the geodesic distance was used as the similarity metric for the affinity propagation algorithm, and the synthetic minority oversampling technique （SMOTE） was used to generate samples in the filtered subclusters up to the class balance. …”
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Optimizing the hydroxyapatite nanocrystals derived from biological sources to increasing efficiency and quality by Mahsa Abbasi, Hossein Derakhshankhah, Soheila Kashanian, Zhila Izadi, Mohammad Soleiman Beigi

“…Results: Hydroxyapatite was synthesized by the ultrasonic method and was chosen as the most appropriate. Because in the EDX results, the percentage of elements oxygen and phosphorus (O, P) in the hydroxyapatite synthesized by the ultrasonic method corresponds to the data of the standard card, HA~1.67, and for this reason, the ultrasonic method is better than the other two methods (hydrothermal and thermal-ultrasonic decomposition) and is more suitable. …”
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An improved MP-NMO correction method based on multiparameter fitting and its application by Xiaohui YANG, Pengfei YU, Jiawei ZHANG

“…ResultsTheoretical model-based experiments demonstrate that the improved MP-NMO correction method effectively mitigated wavelet stretching under large offsets, yielding amplitude and frequency errors of less than 5%, which decreased by more than 90% compared to those of the conventional MP-NMO correction method (up to 40%). …”
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Multisource Heterogeneous Data Fusion Methods Driven by Digital Twin on Basis of Prophet Algorithm by Min Li

“…In response to these issues, this article explores a multisource heterogeneous data fusion method based on the Prophet algorithm digital twin drive to improve the fusion effect of sensor data and provide more support for subsequent decision-making. …”
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Application of Hilbert Huang Transform Method Based on CEEMD in Forest Boundary Layer Turbulence by Yanqi WANG, Yu ZHANG, Youqi SU, Qian ZHANG, min YE

“…To address the modal aliasing phenomenon in traditional Empirical Mode Decomposition （EMD） algorithms， the Complementary Ensemble Empirical Mode Decomposition （CEEMD） and Mirror Extension algorithm were introduced to improve the shortcomings in EMD algorithm decomposition.This article selects case data from turbulence observations in the artificial forest area of Mount Si'e.Firstly， the differences between the two methods are compared and analyzed to clarify the advantages of the CEEMD algorithm； Then， case data of stable and unstable layers at different heights were selected， and the Hilbert Huang transformation method was applied to analyze the turbulent characteristics of the wind speed U and temperature T series under this case， exploring the application of the Hilbert Huang transformation method.The results indicate that the algorithm decomposition of CEEMD is more detailed， the mode aliasing defect of the modal function is better suppressed， the modal energy distribution is more focused， the Hilbert marginal spectrum has more energy spikes， and the energy distribution is clearer.Different modal functions have their own characteristic frequencies， and the decomposed modal functions contain motion of different scales， including turbulent motion in the inertial sub region with a slope of -2/3， and low-frequency large-scale modes corresponding to the energy containing region.The marginal spectral energy peaks obtained from CEEMD decomposition well reflect the energy containing characteristics of each modal function.Individual case analysis shows that the CEEMD algorithm can act as a typical binary filter.After CEEMD decomposition， there are gust fluctuations of about 3~6 minutes in the various modal functions of the U-wind in the turbulence signal of this case.The turbulence characteristics vary at different heights and stable layers.The Hilbert marginal spectral amplitude is higher in the unstable layer at noon compared to the stable layer at night， and the three-dimensional wind speed is better mixed at various heights.Moreover， due to the effect of the canopy， there is a crushing effect on large-scale turbulent vortices at lower altitudes， and the marginal spectrum exhibits low frequency small and high frequency large characteristics compared to other altitudes.In this case， the temperature T is different from the three-dimensional wind speed performance： turbulent vortices at different altitudes are better mixed under stable layer structures， while under unstable layer structures， the marginal spectrum amplitude at lower altitudes is higher due to differences in thermal absorption at different altitudes， and decreases with increasing altitude.Overall， this comparative analysis highlights the superior capabilities of the CEEMD algorithm in handling complex turbulence data， ensuring a more precise and insightful examination of atmospheric phenomena.…”
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Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology by HUANG Gang, PAN Like, HE Chengzhang, YANG Chengfeng, LI Zhong, GONG Shaokang

“…Aiming at the problems of low accuracy and poor reliability of existing signal de-noising methods in the signal processing of fiber Bragg grating sensing system, based on the principle of fiber Bragg grating sensing, a signal de-noising method of fiber Bragg grating sensing system combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method and S-G filtering method is proposed. …”
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Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition by Feng Xiao, Gang S. Chen, Wael Zatar, J. Leroy Hulsey

“…This paper investigated dynamical interactions between pile and frozen ground by using the ensemble empirical mode decomposition (EEMD) method. Unlike the conventional empirical mode decomposition (EMD) method, EEMD is found to be able to separate the mode patterns of pile response signals of different scales without causing mode mixing. …”
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A Novel Algorithm for the Decomposition of Non-Stationary Multidimensional and Multivariate Signals by Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou

“…The decomposition of a signal is a fundamental tool in many fields of research, including signal processing, geophysics, astrophysics, engineering, medicine, and many more. …”
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Modification of Adomian decomposition technique in multiplicative calculus and application for nonlinear equations by Farooq Ahmed Shah, Muhammad Waseem, Alexey Mikhaylov, Gabor Pinter

“…The primary objective of this work is to modify and implement the Adomian decomposition method within the multiplicative calculus framework and to develop an effective class of multiplicative numerical algorithms for obtaining the best approximation of the solution of nonlinear equations. …”
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Dense Sandstone Material Decomposition Based on Improved Convolutional Neural Network by Ran ZHANG, Huihua KONG, Jiaxin LI, Yijiao SONG

“…Energy spectrum computed tomography can provide quantitative information of scanned objects and realize material decomposition. At present, the material decomposition method based on neural networks overcomes the limited decomposition effect of traditional iterative algorithms. …”
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Iterative PolInSAR Target Decomposition for Scattering Characterization and Building Detection by Di Zhuang, Lamei Zhang, Bin Zou

“…To handle this problem, an iterative polarimetric interferometric synthetic aperture radar (PolInSAR) target decomposition method for scattering characterization and building detection is proposed in this article, and it consists of three key components. …”
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