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

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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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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

“…This article contributes to the current body of the literature on radar-driven SM retrieval approaches by proposing an integrated <italic>C</italic>-band two-component polarimetric decomposition method applied on winter wheat fields. …”
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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

“…To address the complex characteristics of nonlinearity, volatility, and periodicity, a novel two-stage PV forecasting method based on an optimized transformer architecture is proposed. …”
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Methods Used in Forensic Linguistic Analysis by O. V. Kukushkina

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

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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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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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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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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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A Clustering-Based Dimensionality Reduction Method Guided by POD Structures and Its Application to Convective Flow Problems by Qingyang Yuan, Bo Zhang

Subjects: “…POD (proper orthogonal decomposition)…”
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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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Kinetic Study and Thermal Decomposition Behavior of Lignite Coal by Mehran Heydari, Moshfiqur Rahman, Rajender Gupta

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