A data-driven reduced-order model for fast prediction of resonant acoustic flow under vertical vibration based on secondary decomposition by Yuqi Gao, Ning Ma, Shifu Zhu, Pengchao Zhang, Hongxing Liu, Zhongyuan Xie

“…High-complexity temporal coefficients, identified through sample entropy analysis, undergo secondary decomposition using methods such as variational mode decomposition. …”
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Modal-Decomposition-Dependent State-Space Modeling and Modal Analysis of a Rigid-Flexible, Coupled, Multifreedom Motion System: Theory and Experiment by Qian Tang, Fuyu Guo, Tao Huang, Kaiming Yang, Yu Zhu, Min Li

“…Based on the similarity principle, a modal analysis method is proposed to transfer the standard state-space model to the proposed modal-decomposition-dependent state-space model. …”
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Spectral solutions for QS with distribution laws in the form of probabilistic mixtures by Veniamin N. Tarasov, Nadezhda F. Bakhareva

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EXCHANGE RATE DYNAMICS AND FORECASTING ACCURACY IN EMERGINGECONOMIES: INTEGRATING ENSEMBLE LEARNING MODELS WITH STRUCTURAL TIME SERIES DECOMPOSITION FOR THE USD/ZAR RATE by Agbeyinka Yinka Ibrahim

“…Among the models tested, AdaBoost outperformed Random Forest and K-Nearest Neighbors in terms of forecast accuracy, as measured by RMSE and MAE, despite lowexplanatorypower across all models. …”
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Application of response surface methodology in modeling and optimization of ceftriaxone decomposition with activated persulfate through zero valence zinc nanoparticles/ultrasonic w... by Zohreh Berizi, Mohammad Reza Zare, Leila rezaei, Ali Parvizimehr, salehe salehnia, Mohsen Rezaei, Nezamaddin Mengelizadeh

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Research on water quality prediction of Jiangshan Port based on SCV-CBA model by Yiting Xu, Zhaoju Liu

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A New Method for Interindustry Linkage Analysis Based on Demand-Driven and Multisector Input-Output Model and Its Application in China’s Manufacturing and Producer Services by Xiao Liu, Jinchuan Shi

“…This study reviews the previous methods for measuring interindustry linkages and their disadvantages and puts forward a new method for interindustry linkage analysis in a complex economic system on the basis of demand-driven and multisector input-output model. …”
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Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression by Nahed Zemouri, Hatem Mezaache, Zakaria Zemali, Fabio La Foresta, Mario Versaci, Giovanni Angiulli

“…The framework uses a one-stage decomposition strategy, applying variational mode decomposition and an improved empirical mode decomposition method with adaptive noise. …”
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Kinetic Study and Thermal Decomposition Behavior of Lignite Coal by Mehran Heydari, Moshfiqur Rahman, Rajender Gupta

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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. …”
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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. …”
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ATHEMATICAL MODEL FOR THE OPTIMISATION OF HIERARCHICAL MULTI-LEVEL PRODUCTION SYSTEMS by Yu. V. Minaeva

“…Objectives The aim of the study is to develop a mathematical model for the complex solution of various problems in designing and reconstructing the technological system of a production workshop of a machine-building enterprise.Methods Complex system theory and an aggregative decomposition approach are used as the methodological basis for modelling complex hierarchical productions, making it possible to represent a complex system in the form of a set of interconnected subsystems.Results A mathematical model designed for a complex solution of problems associated with the formation of an optimal production programme and selection ofequipment was developed. …”
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PERFORMANCE COMPARISON OF SOME TYPES OF WAVELET TRANSFORMS FOR TOURISM DATA PATTERN APPROXIMATION by Syamsul Bahri, Lailia Awalushaumi, Bulqis Nebulla Syechah, Satriawan Pradana

“…Data on tourist visits to an area, including to NTB, is a representation of time series data.  The wavelet method is one of the tools that is quite reliable for modeling time series data.   …”
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A Multi-Directional Pyranometer (CUBE-<i>i</i>) for Real-Time Direct and Diffuse Solar Irradiance Decomposition by Dong-Seok Lee

“…Conventional decomposition models (empirical and numerical decomposition models) estimate direct normal irradiance (DNI) and diffuse horizontal irradiance (DHI) from global horizontal irradiance (GHI) based on empirical correlations or physical equations. …”
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we develop a block coordinate descent method for SC signal decomposition by employing a generalized cross-validation sparse recovery approach while including physiological priors. …”
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Estimation of Forest Aboveground Biomass Using Multitemporal Quad-Polarimetric PALSAR-2 SAR Data by Model-Free Decomposition Approach in Planted Forest by Cong Peng, Chao Fang, Jiangping Long, Tingchen Zhang, Huanna Zheng, Zilin Ye

“…In this study, to overcome the disadvantages of common polarization decomposition methods, model-free decomposition methods were first applied to map forest AGB by extracting decomposition features from L-band quad-polarimetric PALSAR-2 images. …”
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TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…To address this issue, this paper proposes an innovative method that utilizes tensor decomposition, an underexplored concept in object-tracking research. …”
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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

“…An effective bearing fault diagnosis method for gearbox applications under variable operating conditions is proposed, utilizing variational mode decomposition (VMD) for feature extraction, symmetrized dot pattern (SDP) for visual representation, and convolutional neural network (CNN) for deep feature extraction and classification. …”
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A Novel Hybrid Method for Short-Term Power Load Forecasting by Huang Yuansheng, Huang Shenhai, Song Jiayin

“…Finally, the forecasted power load of each component is summed as the final forecasted result of power load. Compared with other methods, the forecasting results of this proposed model applied to the electricity market of Pennsylvania-New Jersey-Maryland (PJM) indicate that the proposed model outperforms other models.…”
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Tensor‐structured decomposition improves systems serology analysis by Zhixin Cyrillus Tan, Madeleine C Murphy, Hakan S Alpay, Scott D Taylor, Aaron S Meyer

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