Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…The original data on dust concentration is not only nonstationary, nonlinear, and nonperiodic but also exhibits high complexity and variability. The decomposition ensemble prediction model can accurately forecast the dust concentration in open‐pit mines. …”
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A spectral analysis of chaotic oscillations in simulation model of Chua’s circuit developed with use of matrix decomposition by A. M. Krot, U. A. Sychou

“…The obtained terms are the basis of the simulation model used for carrying out computational experiments. …”
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A Decomposition-Based Stochastic Multilevel Binary Optimization Model for Agricultural Land Allocation Under Uncertainty by Fan Wang, Youxi Luo, Wenkai Zhang, Yanshu Yu

“…This study developed a decomposition-based stochastic multilevel binary optimization model for agricultural plot management. …”
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A composite index-based insurance instrument for managing the financial risk of variable hydrometeorology for electric utilities by Yash Amonkar, Corey Pahel-Short, Amir Zeighami, Yufei Su, Jordan D Kern, Gregory W Characklis

“…Extreme temperatures often increase electricity demand, raising utility costs, while drought reduces hydropower generation and often reduces revenues, with financial impacts potentially exacerbated by spikes in fuel prices, particularly natural gas. In this study, a model of the US. West Coast power system is combined with a financial risk model of a large California electric utility as it responds to variable hydrometeorology and market conditions, and is used to test the performance of a novel financial tool for managing risk. …”
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Analyzing the Composite Effect of Corruption and Socio-Economic Variables on Food Insecurity in Pakistan: A Comprehensive Study by Saira Habib, Hasnain Didar

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Extension of the Multi-TP Model Transformation to Functions with Different Numbers of Variables by Péter Baranyi

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FINITE ELEMENT MODELING OF COMPOSITE MATERIAL FATIGUE STRENGTH by Evgeny Nikolayevich Ziborov, Arkady Nikolayevich Solovyev

“…Fatigue calculation is of primary importance when designing parts and assemblies made of composite materials to operate under the variable load. …”
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Temperature‐mediated responses of carbon fluxes to precipitation variabilities in an alpine meadow ecosystem on the Tibetan Plateau by Ning Chen, Yangjian Zhang, Juntao Zhu, Jiaxing Zu, Ke Huang, Junxiang Li, Yaojie Liu, Nan Cong, Ze Tang, Li Wang, Yixuan Zhu

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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…The light gradient boosting machine model (LGBM) is also implemented to select the influential input variables. …”
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Modeling of an automated recruitment planning system for educational organizations by S. A. Mishin, E. Yu. Nikulina, E. A. Rogozin, R. A. Solodukha

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GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

“…In the context of rapidly evolving geospatial technologies, this study provides a comprehensive review of GIS model integration and service composition, emphasizing their critical roles in enhancing spatial analysis accuracy, decision-making efficiency, and cross-domain interoperability. …”
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Performance Evaluation of Extended EWMA Chart for AR Model with Exogenous Variables by Totsaporn Muangngam, Yupaporn Areepong, Saowanit Sukparungsee

“…The primary goal of this study is to present the explicit formulas for calculating the ARL of the extended EWMA control chart for autoregressive models with exogenous variables (ARX) and exponential white noise. …”
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Influence of dry-wet cycles on the strength behavior of biopolymer and fiber composite modified loess by Zherui Liang, Changgen Yan, Yihan Cao, Yuling Shi, Han Bao, Huaixin Li

“…This study proposes an innovative reinforcement method using bio-polymer and fiber composite modified loess (BFCL). Through systematic experiments including direct shear tests, quantitative crack characterization via Particle and Crack Analysis System (PCAS), and damage variable modeling, the mechanical response of BFCL under dry-wet cycles was comprehensively evaluated. …”
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Trends and factors contributing to changes in childhood stunting in Bangladesh from 2012 to 2019: A multivariate decomposition modelling. by Satyajit Kundu, Richard Gyan Aboagye, Syed Sharaf Ahmed Chowdhury, Md Hasan Al Banna, Md Ashfikur Rahman, Rakhi Dey, Faruk Ahmed

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Do Exogenous Shocks in Macroeconomic Variables Respond to Changes in Stock Prices? by H. Srivastava, P. Solomon, S. P. Singh

“…The study applies two econometric models such as «Variance Decomposition» (VDC) and «Impulse Response Function» (IRF) for examining the exogenous shocks in macroeconomic variables respond to changes in stock prices. …”
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Differential quadrature free vibration analysis of sandwich plates with curvilinear fiber variable stiffness composite face sheets by Zhenyu Zhou

“…The novelty of this study lies in the first application of an integrated DQM-FSDT approach to the free vibration analysis of sandwich plates with variable-stiffness curvilinear fiber composites. Notably, this method attains accuracy comparable to higher-order models (<5% error) with merely a 19 × 19 mesh. …”
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Far-ultraviolet Flares and Variability of the Young M Dwarf AU Mic: A Nondetection of Planet C in Transit at Lyα by Keighley E. Rockcliffe, Elisabeth R. Newton, Allison Youngblood, Girish M. Duvvuri, Emily A. Gilbert, Peter Plavchan, Peter Gao, Hans-R. Müller, Adina D. Feinstein, Thomas Barclay, Eric D. Lopez

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How do distinct facets of tree diversity and community assembly respond to environmental variables in the subtropical Atlantic Forest? by Joice Klipel, Rodrigo Scarton Bergamin, Marcus Vinicius Cianciaruso, Ana Carolina daSilva, Cristiane Follmann Jurinitz, João André Jarenkow, Kauane Maiara Bordin, Martin Molz, Pedro Higuchi, Rayana Caroline Picolotto, Vanderlei Júlio Debastiani, Sandra Cristina Müller

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A multi-channel spatiotemporal SegNet model for short term wind power prediction with sequence decomposition and reconstruction by Xingdou Liu, Liang Zou, Li Zhang, Jiangong Wang, Zhiyun Han, Yong Li

“…This article proposes a multi-channel spatiotemporal SegNet (MCST-SegNet) model that achieves synchronous power prediction for all wind turbines in a wind farm. …”
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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

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