Response spectra at elevations of station dam equipment installation by Kozinetc Galina, Kozinetc Pavel, Badenko Vladimir

“…A review of publications on the methods of calculating the dynamic responses of structures is presented. …”
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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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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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Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information by Eliezer Soares Flores, Jacob Scharcanski

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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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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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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 Algorithm for Improving the Condition Number of Matrices and Its Application for Solving the Inverse Problems of Gravimetry and Magnetometry by Alexander Leonov, Dmitry Lukyanenko, Anatoly Yagola, Yanfei Wang

“…For the model problem, the advantage of the MPMI method over a number of other common methods is shown. …”
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Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network by Bo Wang, Qiming Fu, You Lu, Ke Liu

“…However, while data-driven methods have emerged as a crucial method to solving this complex problem, the limited availability of data presents a significant challenge to model training. …”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…This study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community. Our method achieves training times an order of magnitude faster than traditional logistic regression by employing a novel Soft-Plus approximation, which enables reformulation of logistic regression parameter estimation into matrix-vector form. …”
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Study of the possibility of using an artificial neural network to recognize and assess the contribution of individual radionuclides to the total beta spectrum by V. S. Repin

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Planning of Distributed Energy Storage in Distribution Networks Considering Operational Efficacy Under Typhoon Weather by YIN Jianbing, HUO Jiali, YU Dan, CHEN Lin, SONG Kexuan, LI Zhiyi

“…The method solves the dimension disaster of the model considering massive scenes Finally, the IEEE 33 bus system is taken as an example to verify the effectiveness of the proposed model and the rapidity of the solution algorithm.…”
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Research on blindsight technology for object recognition and attitude determination based on tactile pressure analysis by Chen Li, Li HuiJun, Song Aiguo

“…The paper first constructs a contact surface deformation model for classic button operations and grasping operations in power systems, based on Hertz contact and elastoplastic unloading theories, laying the theoretical foundation for the vector mechanics decomposition of the contact surface. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…A multi-index fusion adaptive cavitation feature extraction and cavitation detection method is proposed to solve the above problems. The number of decomposition layers in the multi-index fusion variational mode decomposition (VMD) algorithm is adaptively determined by fusing multiple indicators related to cavitation characteristics, thus retaining more cavitation information and improving the quality of cavitation feature extraction. …”
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Tensor-Based Cybersecurity Analysis of Smart Grids Using IT/OT Convergence by Danial Jafarigiv, Keyhan Sheshyekani, Marthe Kassouf

“…The effectiveness of the low-rank modeling using both decompositions is confirmed by demonstrating relatively low reconstruction error. …”
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Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty by SONG Duoyang, XUE Tianliang, LI Yipu, TU Jintong, BI Yuhao, WANG Mankang

“…Then, a combined prediction model based on variational modal decomposition (VMD) and improved bidirectional multi gated long short-term memory (Bi-MGLSTM) network is established because the uncertainty of wind power output seriously affects the operation of the system. …”
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System Optimization Scheduling Considering the Full Process of Electrolytic Aluminum Production and the Integration of Thermal Power and Energy Storage by Yulong Yang, Han Yan, Jiaqi Wang, Weiyang Liu, Zhongwen Yan

“…Firstly, to explore the differentiated response capabilities of various devices such as high-energy-consuming electrolytic aluminum units, thermal power units, and energy storage devices to effectively address uncertain variables in the power system, a Variational Mode Decomposition method is introduced to construct differentiated response methods for its low-frequency, medium-frequency, and high-frequency components. …”
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Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…Other machine learning methods, such as random forest (RF) and the support vector machine (SVM) are also used to establish the inversion models for the comparison. …”
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Resilience-oriented Transmission Expansion Planning with Optimal Transmission Switching Under Typhoon Weather by Yang Yuan, Heng Zhang, Haozhong Cheng, Zheng Wang

“…A nested decomposition algorithm based on benders decomposition is developed to solve the model. …”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

“…The case study demonstrated that the combined prediction model effectively addressed the environmental factors affecting reservoir water levels, leveraged the strength of each predictive method, compensated for their limitations, and clarified the impacts of environmental factors on reservoir water levels.…”
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