Fractional Order Mathematical Model for Predicting and Controlling Dengue Fever Spread Based on Awareness Dynamics by Ahmed S. Rashed, Mahy M. Mahdy, Samah M. Mabrouk, Rasha Saleh

“…The system of equations is solved using the Adomian Decomposition Method (ADM) since it converges rapidly to the exact solution and can give explicit analytical solutions. …”
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling by Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso

“…This work proposes a vibration signal prognosis methodology, applied to a rotating electromechanical system and its associated kinematic chain. The method combines the adaptability of neurofuzzy modeling with a signal decomposition strategy to model the patterns of the vibrations signal under different fault scenarios. …”
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Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition by Md. Rabiul Islam, Md. Rashed-Al-Mahfuz, Shamim Ahmad, Md. Khademul Islam Molla

“…The simulation results show that the MEMD-ARMA-based method performs better than the other methods.…”
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Accelerated Restricted Additive Schwarz method for asynchronous processing by A. Ben bouzid, Y. Khali, S. Khallouq, N. Nagid

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Mathematical modeling of thermal decomposition of resins in the process of reversed gasification of plant biomass by I. G. Donskoy

“…METHODS. To this end, mathematical models are used in different statements: the decomposition of the tar is considered in the approximations of one- and two-reaction kinetic scheme; to assess the influence of the bed height and temperature, the convection-diffusionreaction equation with a given temperature distribution along the length of the reaction zone is used; the temperature of the gasification process is estimated from experimental data and thermodynamic calculations. …”
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AGE-STRUCTURED (SVEIHR) MODEL FOR DIPHTHERIA TRANSMISSION ANALYSIS by mutairu Kolawole, Oladele Ojo FADARA, kazeem Abidoye ODEYEMI

Subjects: “…age-structured modeling, basic reproduction number, stability analysis, treatment rate, laplace adomian decomposition method…”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…To address this challenge, this study develops a method combining Variational Mode Decomposition (VMD) and Sparrow Search Algorithm (SSA)-optimized Gate Recurrent Unit (GRU) for recovering structural response data. …”
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Fast computation of electro-thermal coupling field of ± 400 kV converter transformer valve side bushing based on proper orthogonal decomposition method by Zhilin Chu, Qingyu Wang, Huidong Tian, Siyuan Liu, Zhijie Gao, Songbo Tian, Peng Liu, Zongren Peng

“…The paper adopts the finite element method to construct a model for electro-thermal coupling field of the converter transformer valve side bushing. …”
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A Novel Renewable Energy Scenario Generation Method Based on Multi-Resolution Denoising Diffusion Probabilistic Models by Donglin Li, Xiaoxin Zhao, Weimao Xu, Chao Ge, Chunzheng Li

“…To address this gap, this paper proposes a novel renewable energy scenario generation method based on a multi-resolution diffusion model. …”
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GPU Parallelization Nested Decomposition Method for Solving Large Linear Systems in Reservoir Numerical Simulation by Xin Shi, Yuan Di

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BS-CP: Efficient streaming Bayesian tensor decomposition method via assumed density filtering. by Jiaqi Liu, Qiwu Wu, Lingzhi Jiang, Renjun Zhan, Xiaochuan Zhao, Husheng Wu, Weicong Tan

“…CANDECOMP/PARAFAC (CP) is a popular tensor decomposition model, which is both theoretically advantageous and numerically stable. …”
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A Decomposition-Integration Framework of Carbon Price Forecasting Based on Econometrics and Machine Learning Methods by Zhehao Huang, Benhuan Nie, Yuqiao Lan, Changhong Zhang

“…This paper presents an advanced decomposition-integration framework which seamlessly integrates econometric models with machine learning techniques to enhance carbon price forecasting. …”
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ED-Stacking：A Construction Method of Few-shot Prediction Model for Beef Microbial Growth Based on Ensemble Learning by Hanqiang LI, Yi CHEN, Yufei GAO, Kun HOU, Liping SONG, Jing LI

“…In this paper proposed a construction method of few-shot predictive model for microbial growth in beef, called ED-Stacking, which was based on time series decomposition and ensemble learning, for early warning of microbial risks in food. …”
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A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model by Ying Xu, Xinrong Ji, Zhengyang Zhu

“…Experimental results demonstrate that the proposed model significantly outperforms standalone benchmark methods. …”
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Calculation Models for Acoustic Analysis of St. Elizabeth of Hungary Church in Jaworzno Szczakowa by Krzysztof KOSAŁA

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Decomposition of Intensity and Sustainable Use Countermeasures for the Energy Resources of the Northwestern Five Provinces of China Using the Logarithmic Mean Divisia Index (LMDI) Method and Three Convergence Models by Zhenxu Zhang, Junsong Jia, Chenglin Zhong, Chengfang Lu, Min Ju

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Combining Laplace transform and Adomian decomposition method for solving singular IVPs of Emden-Fowler of partial differential equations by Waleed Al-Hayani, Fatima Yassin

“…In this paper, the time-dependent Emden-Fowler type partial differential equations and wave-type equations with singular behavior at  are analytically solved using the combined Laplace transform and Adomain decomposition method (LT-ADM). To avoid the singularity behavior for both models at , the benefit of this single global technique is used to present a solid framework. …”
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A Hybrid Model for Carbon Price Forecasting Based on Secondary Decomposition and Weight Optimization by Yongfa Chen, Yingjie Zhu, Jie Wang, Meng Li

“…The empirical results of the carbon markets in Hubei and Guangdong indicate that the proposed method outperforms the benchmark model in terms of prediction accuracy and robustness, and the method has been tested by Diebold Mariano (DM). …”
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DECOMPOSITION OF KAZAKHSTAN’S ECONOMIC GROWTH AND MODELING OF LABOR, CAPITAL AND TOTAL FACTOR PRODUCTIVITY CONTRIBUTIONS by S. N. Alpysbayeva, S. Zh. Shuneyev, G. V. Stroyeva

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Dynamic Stochastic Model Optimization for Underwater Acoustic Navigation via Singular Value Decomposition by Jialu Li, Junting Wang, Tianhe Xu, Jianxu Shu, Yangfan Liu, Yueyuan Ma, Yangyin Xu

“…To address this challenge, we propose a depth-constrained adaptive stochastic model optimization method based on singular value decomposition (SVD). …”
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