Evolution and drivers of water use in Northern China by Xiaokang Zheng, Chao Ma, Hong Lv, Fang Wan, Hao Wang

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System load trend prediction method based on IF-EMD-LSTM by Jing Yu, Feng Ding, Chenghao Guo, Yabin Wang

“…For the information system monitoring time series data, this article proposes a load trend prediction method based on isolated forests-empirical modal decomposition-long-term (IF-EMD-LSTM). …”
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Intelligent Transaction Scheduling to Enhance Concurrency in High-Contention Workloads by Shuhan Chen, Congqi Shen, Chunming Wu

“…To address these challenges, we propose <i>Dynamic Contention Scheduling</i> (<i>DCoS</i>), a novel method that enhances transaction concurrency via a dual-granularity architecture. …”
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An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses by Mohamed Neine, Desmond Curran

“…The algorithm was implemented in an HZ CEA model and evaluated for gamma and beta distributions. …”
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Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control by Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu

“…We decoded the motor unit discharges from the EMG signals using a segment-wise decomposition algorithm. Then the neural features were extracted from motor unit discharges and projected to wrist torques with a multiple linear regression model. …”
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Load Forecasting Based on Multiple Load Features and TCN-GRU Neural Network by Haofeng ZHENG, Guohua YANG, Wenjun KANG, Zhiyuan LIU, Shitao LIU, Hong WU, Honghao ZHANG

“…Firstly, the load change rate feature and the load component feature based on the ensemble empirical mode decomposition are introduced, and the feature combination MLFC is formed with the load and date features; Second, select TCN and GRU for feature extraction and prediction, and build an MLFC-TCN-GRU prediction framework based on MLFC; Finally, using different models to verify the proposed method, the results show that MLFC helps to improve the prediction accuracy and is suitable for different models; at the same time, MLFC-TCN-GRU has the highest prediction accuracy compared with other models.…”
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Estimation of the Contribution of Supply and Demand Factors to the Dynamics of Coal Prices in the Domestic Russian Market by A. B. Arshinov, M. A. Alabugin

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Electricity Load Forecasting Method Based on the GRA-FEDformer Algorithm by Xin Jin, Tingzhe Pan, Heyang Yu, Zongyi Wang, Wangzhang Cao

“…Secondly, a frequency decomposition method for long short-time-scale components was utilized. …”
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Music Genre Classification Based on Functional Data Analysis by Jiahong Shen, Guangrun Xiao

“…The experimental results show that our proposed method outperforms other compared methods in MGC.…”
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COMBINED METHOD OF RANKING OPTIONS IN PROJECT DECISION SUPPORT SYSTEMS by Vladimir Beskorovainyi

“…The following tasks are solved in the article: review and analysis of the current state of the problem of ranking options in design decision support systems; decomposition of the problem of project decision support; development of a combined method of ranking options, which combines the procedures of technologies of ordinalistic and cardinalistic ordering; development of a method of minimax selection of options from a set of effective for the procedure of expert evaluation. …”
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Burden of knee osteoarthritis in China and globally: 1990–2045 by Mingyang Li, Qilin Xia, Qilong Nie, Ling Ding, Zhen Huang, Zeping Jiang

“…For prediction, we employed the Bayesian Age-Period-Cohort (BAPC) model, implemented using the Integrated Nested Laplace Approximation (INLA) method, to project future trends from 2022 to 2045. …”
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A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD by Fengfeng Bie, Xueping Ding, Qianqian Li, Yuting Zhang, Xinyue Huang

“…To address this challenge, a fault diagnosis method rooted in feature mode decomposition (FMD) is proposed. …”
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Comparison of bone mineral density quantification in dogs using spectral detector computed tomography versus phantom-based conventional computed tomography by Alina Hörmann, Tarek Neubert, Graeme Campbell, Adriano Wang-Leandro, Michael Pees, Christina Strube, Kristina Merhof

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A Novel Dual-Modal Deep Learning Network for Soil Salinization Mapping in the Keriya Oasis Using GF-3 and Sentinel-2 Imagery by Ilyas Nurmemet, Yang Xiang, Aihepa Aihaiti, Yu Qin, Yilizhati Aili, Hengrui Tang, Ling Li

“…Although deep learning (DL) methods have been widely employed for soil salinization extraction from remote sensing (RS) data, the integration of multi-source RS data with DL methods remains challenging due to issues such as limited data availability, speckle noise, geometric distortions, and suboptimal data fusion strategies. …”
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Elevator Running Fault Monitoring Method Based on Vibration Signal by Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang

“…According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). …”
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Technology and technical means for the implementation of reproduction methods for soil fertility by Y. P. Lobachevskiy, N. V. Aldoshin

“…(Materials and methods) For the joint application of liquid organic fertilizers and the cultivation of siderates, a unit has been developed that implements a hose technology for transporting liquid organic fertilizers. …”
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Analysis of collapse modes of stiffened panels subjected to combined axial and lateral loads by Guangyu GUO, Jinju CUI, Deyu WANG

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Global, regional, and national epidemiology of type 1 diabetes in children from 1990 to 2021: trend and health inequality analyses based on the Global Burden of Disease Study 2021 by Jing Xie, Weilan Li, Xiaomin Li, Xueli Zhang, Jing Liu, Zeye Liu, Shenqi Jing, Hua Shao

“…Regression models and concentration curves were employed to evaluate health inequality among countries and regions with different sociodemographic index (SDI) levels, and predictive models were used to estimate future trends of T1D over the next 30 years. …”
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Machine Learning Techniques and Recommender Systems for Large Educational Data by Ammar Mohammed, Murtadha Hamad

“…This study proposed machine learning (ML) models such as K Nearest Neighbor (KNN) and Singular Value Decomposition (SVD) while this paper utilizing evaluations of performance metrics like root mean square error (RMSE), mean absolute error (MAE), hit rate (HR), average reciprocal hit rating (ARHR), accuracy, and recall. …”
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Global, regional, and national burden and projections to 2050 of occupational carcinogen-attributable nasopharyngeal and laryngeal cancer: a comprehensive analysis from the GBD 202... by Hao Zhang, Rong Xue, Xinru Kong, Manyi Zhao, Zhanguo Jin

“…This study estimates the burden, temporal trends, and future projections of occupational carcinogen-attributable NPC and LC from 1990 to 2050.MethodsUsing data from Global Burden of Disease (GBD) 2021, we analyzed death and disability-adjusted life years (DALYs) across 204 countries and territories. …”
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