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.…”
Get full text

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.…”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

The Study of Large-Scale Fading Using a Wavelet Transform Method by Guizhen Lu, Zhi Cao, Xingning Jia, Jingjing Liang

“…A wavelet method is proposed to evaluate the modeling of the first- and second-order statistics of large-scale fading from the signal strength measurement. …”
Get full text

Estimation Method of Carbon Emissions in the Embodied Phase of Low Carbon Building by Hongwei Liu, Jun Li, Yafei Sun, Yanshu Wang, Haichun Zhao

“…Emission factor calculation method is used to establish carbon emission model for building materials. …”
Get full text

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. …”
Get full text

Improved Tikhonov regularization method for load identification and structural response reconstruction by GAO Kele, YIN Hong, PENG Zhenrui

“…Secondly, the truncated randomized singular value decomposition method was used to calculate the approximate transfer matrix at the locations of the measurement points, while the total least squares method (TLSM) and the traditional Tikhonov regularization method were combined to identify the load, and then the unknown response was reconstructed by the transfer matrix at the locations. …”
Get full text

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

“…Trends from 1990 to 2021 were quantified by estimating annual percentage changes. Decomposition analysis identified the primary population-level drivers of T2DM burden changes. …”
Get full text

GIS partial discharge fault diagnosis method based on SGMD-LSTM by Zhang Yun, Zhang Chao, Zhang Shiyong, Ma Pengchi, Yang Guang, Ding Hao

“…To accurately diagnose partial discharge faults in Gas Insulated Switchgear (GIS), a fault diagnosis method based on Symplectic Geometric Mode Decomposition (SGMD) and improved Long Short Term Memory (LSTM) is proposed. …”
Get full text

Analytical and numerical computations for bioconvective flow Maxwell nanofluid with variable thermal properties using homotopy analysis method and finite difference scheme by Jawaher Alzahrani

“…The analytical computations are proceeded with help of homotopy analysis method (HAM) while numerical treatment is governed by finite difference method (FDM). …”
Get full text

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

“…This study employs the Concentration Index (CI) with decomposition analysis, alongside Oaxaca-Blinder decomposition as robust.ResultsThe results of the concentration index reveal that child undernutrition in Pakistan is deeply rooted in socioeconomic disparities, with household wealth contributing the largest share (45.6%) to overall inequality. …”
Get full text

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

“…Decomposition analysis quantified the impact of demographic factors, while advanced analysis assessed the relationship between gout burden and socioeconomic development. …”
Get full text

Presence and detection methods of pseudo-periods in GNSS coordinate time series by Kaichun Yang, Hua Chen, Zhao Li, Jian Wang, Xin Ding, Weiping Jiang

“…Periodic detection of Global Navigation Satellite System (GNSS) coordinate time series is crucial for establishing nonlinear motion models of reference stations. However, uncleaned outliers, offset, and the limited precision of periodic detection methods may introduce pseudo-periodic signals. …”
Get full text

Investigation of the Effectiveness of Programs Optimization Methods for Parallel Computing Systems with GPU by A. Yu. Bezruchenko, V. A. Egunov

“…The paper defines the relevance of the task of increasing the efficiency of software, which in this case is understood as reducing the operating time of the designed software in the process of solving computationally complex problems. Method. As an example of such a task, the implementation of the singular value decomposition by the Jacobi method is used. …”
Get full text

EMD combined with ensemble of machine learning predictors for foreign exchange rate forecasting by Duong Tuan Anh, Tran Van Xuan

“…The results indicate that the proposed EMD–LSTM model is more effective than the single LSTM. Besides, to aim at comparing deep-learning models against shallow machine learning models in combination with the EMD decomposition, the second experiment compared EMD-LSTM with the approach which combines EMD with an ensemble of k-nearest neighbors’ predictors (called EMD-KNN method) and the results of the second experiment show that EMD-LSTM cannot outperform EMD-KNN in foreign exchange rates forecasting. …”
Get full text

EMD combined with ensemble of machine learning predictors for foreign exchange rate forecasting by Duong Tuan Anh, Tran Van Xuan

“…The results indicate that the proposed EMD–LSTM model is more effective than the single LSTM. Besides, to aim at comparing deep-learning models against shallow machine learning models in combination with the EMD decomposition, the second experiment compared EMD-LSTM with the approach which combines EMD with an ensemble of k-nearest neighbors’ predictors (called EMD-KNN method) and the results of the second experiment show that EMD-LSTM cannot outperform EMD-KNN in foreign exchange rates forecasting. …”
Get full text

Multilinear Model of Heat Exchanger with Hammerstein Structure by Dragan Pršić, Novak Nedić, Vojislav Filipović, Ljubiša Dubonjić, Aleksandar Vičovac

“…The set of linear models is formed by decomposition of the nonlinear steady-state characteristic by using the modified Included Angle Dividing method. …”
Get full text

Infrared Small Target Detection Based on Compound Eye Structural Feature Weighting and Regularized Tensor by Linhan Li, Xiaoyu Wang, Shijing Hao, Yang Yu, Sili Gao, Juan Yue

“…Our model is efficiently solved using the Alternating Direction Method of Multipliers (ADMM). …”
Get full text