Research on Sleep Stage Classification of Electroencephalogram Signals Based on CNN and LSTM by Liying Zhu, Qingxin Guan, Yunqing Liu, Jiayue Xu, Sha Ma

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Abnormal Load Variation Forecasting in Urban Cities Based on Sample Augmentation and TimesNet by Yiyan Li, Zizhuo Gao, Zhenghao Zhou, Yu Zhang, Zelin Guo, Zheng Yan

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Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE by Baoxian Chang, Xing Zhao, Dawei Guo, Siyu Zhao, Jiyou Fei

“…To further enhance the accuracy of identifying rolling bearing faults, a fault diagnosis method is proposed. This method is based on the improved Dung Beetle Optimization (DBO) algorithm for optimizing Variational Mode Decomposition (VMD) combined with Stacked Sparse Autoencoder (SSAE). …”
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Bearing fault diagnosis based on improved DenseNet for chemical equipment by Wu Huiyong, Jiang Kuan, Wang Yanyu

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Power distribution strategy for a hybrid energy storage system suitable for wind-storage microgrid by LI Yanbo, YANG Kai, CHEN Junshuo, YAO Bobin, LIU Weiyu, WU Qisheng

“…Based on a hybrid energy storage system composed of supercapacitors and batteries, a complementary ensemble empirical mode decomposition method is proposed to smooth the power fluctuations caused by the instability of wind power generation. …”
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The model of automation of university management processes by M. I. Grachev

“…When carrying out the processes of decomposition, abstraction and aggregation, we obtain a mathematical model of a management decision. …”
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VCAFusion: A Framework for Infrared and Low Light Visible Image Fusion Based on Visual Characteristics Adjustment by Jiawen Li, Zhengzhong Huang, Jiapin Peng, Xiaochuan Zhang, Rongzhu Zhang

“…To further improve fusion quality, we develop an edge-preserving multi-scale decomposition model and a saliency-preserving strategy, ensuring seamless integration of perceptual features. …”
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Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm by Pei Tang, Zetao Qiu, Zhongran Yao, Jiahao Pan, Dashuai Cheng, Xiaoyong Gu, Changcheng Sun

“…The Variational Mode Decomposition (VMD) method is then used to break down the raw capacity sequence into a set of intrinsic mode functions. …”
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SMART: Structured Missingness Analysis and Reconstruction Technique for credit scoring by Seongil Han, Haemin Jung, Paul D. Yoo

“…Recent advancements have introduced more sophisticated techniques, such as Generative Adversarial Imputation Networks (GAIN), which utilize a generative adversarial network to model data distributions and impute missing values with greater precision than conventional methods. …”
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Hankel Tensor Subspace Representation for Remotely Sensed Image Fusion by Fei Ma, Qiang Qu, Feixia Yang, Guangxian Xu

“…Experimental tests on several real datasets demonstrate that the proposed fusion model significantly achieves better performance in super-resolution reconstruction and noise removal than the representative benchmark methods, which also verifies the validation of Hankel tensor representation and regularization.…”
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Improved Use of the Full Length of Milling-Tool Flutes in Processes of Air-Contour Milling by César García-Hernández, Juan-Jesús Valdivia-Sánchez, Pedro Ubieto-Artur, Mariano García-Arbués, Anastasios Tzotzis, Juan-José Garde-Barace, Francisco Valdivia-Calvo, José-Luis Huertas-Talón

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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…The results indicate that compared to other models, the proposed method (XGBoost-VMD-GRU considering complex features) demonstrates superior performance in forecasting, with R² of 0.9922, 0.9860, and 0.9679 for one-step, three-step, and six-step prediction, respectively. …”
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Correlation between night sweats and season fluctuation in China by Cai Chen, Meng Li, Fulai Peng, Danyang Lv, Xiao Ding, Chongxuan Tian, Weilian Ren, Xiangwei Meng, Tiefeng Sun, Yi Wang, Haitao Du, Fengxia Wu, Wei Li, Ping Wang

“…Meteorological factors, including ambient temperature, humidity, pressure, precipitation and average wind speed in Zhengzhou were obtained from the website https://en.tutiempo.net/climate. A time series decomposition model was used to study the relationship between night sweats and seasonality. …”
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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Goals in the Management of Regional Finances:  А Logical-Content Analysis of State Programs by R . V. Erzhenin

“…The transition to the formation of budgets on the basis of the program-target method is one of the significant achievements of the budget policy pursued in russia in terms of increasing the budget expenditures efficiency. …”
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Global burden and risk factors of type 2 diabetes mellitus from 1990 to 2021, with forecasts to 2050 by Qian Huang, Qian Huang, Yang Li, Yang Li, Minggang Yu, Minggang Yu, Minggang Yu, Zhizi Lv, Zhizi Lv, Zhizi Lv, Fengyi Lu, Fengyi Lu, Ning Xu, Ning Xu, Qingqing Zhang, Qingqing Zhang, Jiayun Shen, Jiayun Shen, Jinfeng Zhu, Hua Jiang, Hua Jiang

“…This study seeks to offer robust scientific evidence for the effective prevention and management of T2DM globally through a comprehensive analysis of the disease’s burden, trends, and risk factors from 1990 to 2021, as well as future trajectories from 2022 to 2050.MethodsData for this study were sourced from the 2021 Global Burden of Disease (GBD) study. …”
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Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China by Kun Liu, Yunfei Chen, Bin Wu, Fan Gao, Abdul Waheed, Fanghong Han, Yan Cao, Jie Wu, Hailiang Xu

“…Abstract：: Study region: Urumqi River, Xinjiang, China Study focus: Understanding the periodic evolution and influencing factors of runoff in arid regions is crucial for accurate hydrological modeling and effective water resource management. To explore the difference of runoff periodic characteristics between annual and monthly scales data and evaluate the mutation's impact on periodic evolution and driving factors, the classical Mann-Kendall test and cumulative anomaly curve method were used to identify Urumqi River’s runoff trends and mutation characteristics from 1978 to 2016. …”
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Wealth and regional disparities in child undernutrition: insights from national demographic and health survey by Lijing Tan, Muhammad Shahid, Jiayi Song, Hafiz Muhammad Naveed, Itbar Khan

“…IntroductionIn developing countries like Pakistan, the prevalence of malnutrition embodies a multifaceted development challenge, intricately linked to structural inequalities, with disproportionate burdens among socioeconomically and geographically disadvantaged populations.MethodsDrawing on the most recent Pakistan Demographic and Health Survey (2017–18), this study examines the magnitude of child undernutrition disparities across wealth quintiles and geographic regions. …”
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Assessing cross-national inequalities and predictive trends in gout burden: a global perspective (1990–2021) by Mingyang Li, Qilong Nie, Qilin Xia, Zeping Jiang, Zeping Jiang

“…Understanding global trends and sociodemographic disparities is crucial for developing targeted interventions.MethodsWe analyzed gout prevalence, incidence, and disability-adjusted life years (DALYs) from 1990 to 2021, stratified by age, sex, and economic development. …”
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