Trends and Determinants of Underweight among Children under Five Years in Ethiopia: Further Analysis with Ethiopian Demographic and Health Survey 2005–2016—Multivariate Decompositi... by Tilahun Yemanu Birhan, Dessie Abebaw Angaw

“…The technique employed the output from the logistic regression model to parcel out the observed difference in underweight into components, and STATA 14 was utilized for data management and analysis. …”
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Global, regional, national prevalence, mortality, and disability-adjusted life-years of cutaneous squamous cell carcinoma and trend analysis from 1990 to 2021 and prediction to 204... by Chengling Liu, Xingchen Liu, Pengjuan Cao, Xin Li, Haiming Xin, Sailin Zhu

“…A Bayesian Age-Period-Cohort (BAPC) model projected future prevalence, mortality, and DALYs, identifying key drivers of cSCC burden.ResultsIn 2021, there were 2,275,834 cases of cSCC globally, reflecting a 345% increase since 1990. …”
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HDF-Net: Hierarchical Dual-Branch Feature Extraction Fusion Network for Infrared and Visible Image Fusion by Yanghang Zhu, Mingsheng Huang, Yaohua Zhu, Jingyu Jiang, Yong Zhang

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A New Approach to Constraining Properties of Active Galactic Nucleus Host Galaxies by Combining Image and Spectral Energy Distribution Decomposition: Testing upon the MBH–M⋆ Relati... by Haoran Yu, Lulu Fan, Yunkun Han, Weibin Sun, Yihang Zhang, Xuheng Ding, Yongquan Xue

“…Image decomposition allows us to disentangle optical flux into AGN and stellar components, thereby providing additional constraints on the SED models to derive a more refined stellar mass. …”
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Assessing the Impact of Climate Change on Methane Emissions from Rice Production Systems in Southern India by Boomiraj Kovilpillai, Gayathri Jawahar Jothi, Diogenes L. Antille, Prabu P. Chidambaram, Senani Karunaratne, Arti Bhatia, Mohan Kumar Shanmugam, Musie Rose, Senthilraja Kandasamy, Selvakumar Selvaraj, Mohammed Mainuddin, Guruanand Chandrasekeran, Sangeetha Piriya Ramasamy, Geethalakshmi Vellingiri

“…Experimental data were subsequently used to guide parametrization and validation of the DeNitrification–DeComposition (DNDC) model. The validation of the model showed good agreement between the measured and modeled data, as denoted by the statistical tests performed, which included CRM (0.09), D-index (0.99), RMSE (7.16), EF (0.96), and R² (0.92). …”
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Energy-Efficient Islanding Detection Using CEEMDAN and Neural Network Integration in Photovoltaic Distribution System by Sulayman Kujabi, Emmanuel Asuming Frimpong, Francis Boafo Effah

“…This paper proposes an enhanced islanding detection method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a pattern recognition neural network (PANN). …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…Across different trials, the system displayed varying degrees of resistance to cumulative Agr.Ops, with some trials showing increased resilience over time.DiscussionThe alternative decomposition method used effectively identified outliers and provided valuable insights into the functionality of the system under different operational loads. …”
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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

“…According to the machine learning theory, a short-term prediction method towards trimaran loads is studied by using an optimized data-driven model. …”
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National estimates of mortality of unintentional drowning in China from 1990 to 2021 and its predicted level in the next decade: results from the global burden of disease study 202... by Liuqing You, Jiangmei Liu, Jieming Zhong, Fangrong Fei

“…In addition, we used decomposition analysis to quantify the drivers of changes in unintentional drowning from 1990 to 2021 and we also predicted the mortality of unintentional drowning in the next 10 years based on APC model.ResultsIn 2021, the deaths attributable to unintentional drowning in China were 57554.02 (95% UI: 47463.15~69111.96), corresponding to age-standardized mortality rate (ASMR) of 4.12 (95% UI: 3.39 ~ 4.96) per 100,000 population. …”
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Intelligent partial discharge sensing system for power grid equipment based on Internet of things by FANG Zheng

“…Firstly, the overall framework of the intelligent PD sensing system for power grid equipment is proposed, and the required software and hardware configuration and the selection of PD detection sensors are given; the PD detection process is further designed, and different principles of PD detection are analyzed, the noise of PD is reduced by the discharge signal analysis method of resonance sparse decomposition; the network model of the intelligent partial discharge sensing system for power grid equipment is designed, including sensor nodes, sink nodes and access nodes. …”
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Simplified EMT Model of Multiple-Active-Bridge Based Power Electronic Transformer with Integrated Energy Storage by Jianzhong Xu, Conghui Zheng, Wanying Xu, Moke Feng, Chengyong Zhao, Gen Li

“…First, the switching function method and Dommel algorithm are used to build the equivalent model of each power module. …”
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A Gaussian Variogram‐Based Model of Total Electron Content in the Regional Ionosphere of China by Ang Liu, Zishen Li, Ningbo Wang, Ang Li, Zhouyu Zhang, Yunlong Zhang

“…The regional ionospheric model is then constructed by introducing an additional stochastic term, named adjusted Spherical Harmonics Adding KrigING method (SHAKING), in which the stochastic Vertical Total Electron Content estimated using Kriging interpolation based on Ionospheric Variogram Model Parameters (IVMP) predict model. …”
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Transmission Tower Tilt State Recognition Based on Parameter Optimization of VMD-SVD and LSTM by Long ZHAO, Guanru WEN, Zhicheng LIU, Peng YUAN, Xinsheng DONG

“…Finally, the LSTM neural network is introduced for feature classification to form a fault diagnosis model. A 110 kV cathead-type tower is used to verify the proposed model, and the results show that the proposed method can achieve an accuracy of 96.68% in identification of tower tilting state. …”
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Multi-Source Attention U-Net: A Novel Deep Learning Framework for the Land Use and Soil Salinization Classification of Keriya Oasis in China with RADARSAT-2 and Landsat-8 Data by Yang Xiang, Ilyas Nurmemet, Xiaobo Lv, Xinru Yu, Aoxiang Gu, Aihepa Aihaiti, Shiqin Li

“…Moreover, the MS + SAR MSA-U-Net, in comparison to traditional machine learning methods and the baseline model, improved the OA and Kappa coefficient by 8.24% to 12.55% and 0.08 to 0.15, respectively. …”
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A Data-Driven Feature Extraction Process of Interleaved DC/DC Converter Due to the Degradation of the Capacitor in the Aircraft Electrical System by Chenguang Zhang, Pengfei Gao, Ming Huang, Wenjie Liu, Weilin Li, Xiaobin Zhang

“…By employing wavelet decomposition and the Hilbert transform method, a highly correlated time–frequency domain feature is obtained. …”
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Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information by Eliezer Soares Flores, Jacob Scharcanski

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Growth parameters and age estimates of the mouthless crab, Cardisoma crassum Smith, 1870 (Brachyura: Gecarcinidae) from the Montijo Gulf, Pacific coast of Panama by Roberto C. Lombardo

“…From November 2014 to September 2015 and January 2021 to February 2024, a total of 967 crabs were sampled from five mangrove sites within the Montijo Gulf, Pacific coast of Panama. The modal decomposition method was applied to identify age groups, where the best model fit was obtained with eight age classes and the parameters: L ∞ = 91.51 mm, k = 0.24 year-1, and L 1 = 17.14 mm. …”
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SVD-GoRank: Recommender System Algorithm Using SVD and Gower’s Ranking by Ilham Saifudin, Triyanna Widiyaningtyas, Ilham Ari Elbaith Zaeni, Afrig Aminuddin

“…One widely used approach is a memory-based model with ranking orientation. Recently, a ranking algorithm that combines user rating values from SVD (Singular Value Decomposition) and user similarity values has been proposed. …”
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The global, regional, and national brain and CNS cancers burden and trends from 1990 to 2021 by Jian Zhou, Long Gu, Fengling Du, Chun Li, Fan Zhang, Xianhui Zhang, Jinwei Pang, Bingqing Xie, Xiangyu Wang, Jianhua Peng, Yong Jiang

“…The estimated annual percentage change (EAPC) and joinpoint regression analysis were employed to assess temporal trends in cancer burden metrics from 1990 to 2021. Das Gupta’s decomposition method was used to quantify the relative contributions of population growth, aging and epidemiological changes on the cancer burden. …”
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An improved GRU method for slope stress prediction by Lichun Bai, Ronghui Zhao, Sen Lin, Zishu Chai, Xuan Wang

“…In order to address the aforementioned issues, the present paper proposes an intelligent prediction model based on Variational Mode Decomposition (VMD) and Dung Beetle Optimization (DBO), combined with an improved Gated Recurrent Unit (GRU), which is hereby referred to as the VMD-DBO-GRU-A model. …”
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