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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Integrating 3D printing, simulations and surrogate modelling: A comprehensive study on additive manufacturing focusing on a metal twin-cantilever benchmark by C. Mallor, S. Lani, V. Zambrano, H. Ghasemi-Tabasi, S. Calvo, A. Burn

“…The reduced order method for creating the surrogate model is based on tensor decomposition and designed for easy integration into a digital twin, while preserving the underlying physics by retaining the effects of input variables on the final output. …”
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Equivalent Circuit Parameter Measurement of Multiphase Induction Machine by Exploitation of Space Harmonic Relations by Omer Ikram Ul Haq, R. S. Kanchan, Sjoerd G. Bosga, Luca Peretti

“…A multiphase induction machine model using vector space decomposition provides insights into many space harmonics through decoupled reference frames. …”
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Analysis of Wind Power Fluctuation in Wind Turbine Wakes Using Scale-Adaptive Large Eddy Simulation by Jagdeep Singh, Jahrul M Alam

“…The proper orthogonal decomposition method was employed to extract the most energetic contributions to the wind power spectra. …”
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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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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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Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD by ZHANG Dongxing, YANG Gang, ZHOU Ao, QIN Limu, WEI Yuqian, YAN Lei

“…Through the experimental analysis, it can be seen that the VMD analysis method of optimizing parameters can effectively find the characteristic frequency of bearing faults, and by comparing the EMD analysis method, it can be found that the analysis method proposed in this paper is more effective.…”
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Intelligent Transaction Scheduling to Enhance Concurrency in High-Contention Workloads by Shuhan Chen, Congqi Shen, Chunming Wu

“…DCoS employs a one-shot execution model that enables fine-grained scheduling in high-contention scenarios, while retaining lightweight in-partition execution under low-contention conditions. …”
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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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Evolution and drivers of water use in Northern China by Xiaokang Zheng, Chao Ma, Hong Lv, Fang Wan, Hao Wang

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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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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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An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

“…This study integrates sequential variational mode decomposition (SVMD), a dual-parameter (DP) model, and an improved wavelet threshold function (IWT), presenting a denoising method termed SVMD-DP-IWT. …”
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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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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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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 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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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

“…Age-standardized death rate (ASDR), age-standardized DALYs rate, and estimated annual percentage change (EAPC) were used to assess trends. Decomposition analysis quantified the contributions of epidemiological changes, population growth, and aging. …”
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