Singular Value Decomposition and Ligand Binding Analysis by André Luiz Galo, Márcio Francisco Colombo

“…Singular values decomposition (SVD) is one of the most important computations in linear algebra because of its vast application for data analysis. …”
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Longitudinal Survival Analysis Using First Hitting Time Threshold Regression: With Applications to Wiener Processes by Ya-Shan Cheng, Yiming Chen, Mei-Ling Ting Lee

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Application of the method of the analytical hierarchy process for assessing the synergetic efficiency of the project

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Two-stage photovoltaic power forecasting method with an optimized transformer by Yanhong Ma, Feng Li, Hong Zhang, Guoli Fu, Min Yi

“…Its RMSE improved by 31.23% compared with that of a traditional transformer, and its MSE improved by 12.57% compared with that of a baseline model.…”
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Soil Moisture Retrieval in Winter Wheat Fields at Different Growth Stages: Integrating a Two-Component Polarimetric SAR Decomposition With CIEM by Wenxin Xue, Qinghua Xie, Xing Peng, J. David Ballester-Berman, Jinfei Wang, Jiali Shang, Haiqiang Fu, Jianjun Zhu

“…Two X-Bragg surface scattering models with broader roughness adaptability and three generalized volume scattering models (namely, the generalized volume scattering model (GVSM), the simplified adaptive volume scattering model (SAVSM), and the simplified Neumann volume scattering model (SNVSM)) were incorporated into the decomposition framework to mitigate vegetation effects and isolate the surface scattering component. …”
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Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

“…In response to the difficulty in obtaining combustion information within coal-fired boiler furnaces, a method is proposed in this study to improve the reduced-order model using clustering segmentation. …”
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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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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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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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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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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

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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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Key Nodes Identification Method in Scale-Free Network Based on Structural Holes by Weiyan Liu

“…This study proposes a novel hybrid method that integrates structural holes importance indices with Mixed Degree Decomposition (MDD) to optimize node importance evaluation. …”
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Short-term forecasting method for net load considering the impact of high proportion of distributed renewable energy by Yuhang Song, Haibo Zhang, Hanru Wu, Joseph Ndonji

“…The model first employs a neural network-based sequence-to-point learning non-intrusive load decomposition method to decompose the net load data into constituent components with different characteristics. …”
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A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks by Pei Wang, Xue Dan, Yong Yang

“…In order to overcome low precision problem in long-term prediction for lithium-ion battery capacity, this article proposes a multi-scale fusion prediction method based on ensemble empirical mode decomposition and nonlinear autoregressive models neural networks. …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…In order to identify the nonlinear classification of bearing fault features more accurately， a fault identification method based on IFOA-SVM is proposed. Firstly， the variational mode decomposition method is used to decompose the vibration signals of the bearing， and the fuzzy approximate entropy and energy entropy of the modal component is used to form fault characteristics. …”
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Methodology-Dependent Reversals in Root Decomposition: Divergent Regulation by Forest Gap and Root Order in <i>Pinus massoniana</i> by Haifeng Yin, Jie Zeng, Size Liu, Yu Su, Anwei Yu, Xianwei Li

“…The results showed the following: (1) Root decomposition was significantly accelerated by the in situ soil litterbag method (ISLM) versus the traditional litterbag method (LM) (decomposition rate (<i>k</i>) = 0.459 vs. 0.188), reducing the 95% decomposition time (<i>T_0.95</i>) by nearly nine years (6.53 years vs. 15.95 years). …”
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Features of Combustion of Water-fuel Emulsions with Different Methods of Introducing Water into the Combustion Zone by Kolbasenko O.V., Dymo B.V., Anastasenko S.M., Shostak O.V.

“…The main purpose of the article is to conduct research on combustion quality and determine nitrogen oxide concentrations for various methods of introducing water into the combustion chamber zone. …”
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Behaviour Analysis of Modeling and Model Evaluating Methods in System Identification for a Multiprocess Station by A. Annie Steffy Beula, Geno Peter, Albert Alexander Stonier, K. Ezhil Vignesh, Vivekananda Ganji

“…Order of the model is found from Hankel matrix representation methods such as singular value decomposition and determinant method. …”
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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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