Breaking the thermal barrier: Investigating effective heat transfer in polymer composites by Abdessamad Belhaouzi, Yosra Raji, Souad Zyade, Sanaa Majid, Abdelfattah Elmahbouby

Subjects: “…Composite materials…”
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Decomposition of Technological Processes for Evaluating the Performance of Production Line for Pre Sowing Treatment of Seeds by E. I. Kubeyev, B. S. Antropov

“…Results of experiments were processed by methods of mathematical statistics, statistical analysis and data processing package, research application package, filtering, analysis and modeling of technological processes. …”
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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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A Finite Element Method orthotropic multi-yield elastic-inelastic model of a wood-adhesive-steel composite by Vincenzo De Luca, Cosimo Marano

Subjects: “…Finite Element Method…”
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Predictive modeling of the mechanical behavior of 3D-printed polylactic acid/wood composite: Comparison of GEP and ANN methods by Abhijit Bhowmik, Raman Kumar, Ranganathaswamy M. K., Y. Karun Kumar, Priyaranjan Samal, Abinash Mahapatro, Abdulaziz N. Alhazaa, Valentin Romanovski, A. Johnson Santhosh

“…This study introduces a novel approach for predicting the mechanical properties of 3D-printed polylactic acid wood composites using gene expression programming (GEP) and artificial neural networks (ANN) modeling methods. …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…The generalized Benders decomposition method is used to decompose the model into main problem and sub-problems, the main problem is solved iteratively by linear evaluation, and the sub-problems are solved iteratively by interior point method. …”
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Uncertainty Decomposition to Understand the Influence of Water Systems Model Error in Climate Vulnerability Assessments by Scott Steinschneider, Jonathan D. Herman, John Kucharski, Marriah Abellera, Peter Ruggiero

“…The method is applied to a reduced complexity multi‐reservoir systems model of the Sacramento‐San Joaquin River Basin in California to demonstrate the decomposition of flood risk and water supply uncertainties under an ensemble of climate change scenarios. …”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…Finally, the integrated prediction combining fluctuation and random terms under condition 5 yielded R2 of 0.87 and 0.93 for the overall prediction at Ankang and Baihe stations, respectively, demonstrating excellent model performance. [Conclusions](1) The MVMD decomposition method can control the number of decomposition layers, ensuring complete signal feature extraction without overfitting while improving processing speed.(2) Pearson correlation coefficient method enhances prediction accuracy through decomposed data classification.(3) The MEA-BP can improve signal-to-noise ratio, adapt to complex environments, enhance learning efficiency and generalization ability, and reduce computational complexity.(4) The GWO-ELM algorithm integrates grey wolf optimizer with extreme learning machine, providing a fast and adaptive solution for time-series prediction with reduced overfitting and improved efficiency.(5) The overall combined model can efficiently and stably process large amount of data while ensuring high accuracy.…”
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Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog by Jun Pan, Huizhang Shen, Zhong Chen

“…So, in this paper, we aim at introducing K-Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user’s actions when mass incident happens. …”
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MODELING OF THE LITHOSPHERE IN THE WHITE SEA REGION USING DECOMPOSITION OF ANOMALOUS GRAVITATIONAL AND MAGNETIC FIELDS by B. Z. Belashev, L. I. Bakunovich, N. V. Sharov

“…The decompositions of the fields were provided by the singular spectral method in the software package "R 4.3.1". …”
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Stock Market Index Prediction Using CEEMDAN-LSTM-BPNN-Decomposition Ensemble Model by John Kamwele Mutinda, Abebe Geletu

“…The findings highlight the importance of combining advanced decomposition methods and deep learning models for financial forecasting. …”
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Evaluation of Eight Decomposition-Hybrid Models for Short-Term Daily Reference Evapotranspiration Prediction by Yunfei Chen, Zuyu Liu, Ting Long, Xiuhua Liu, Yaowei Gao, Sibo Wang

“…However, the nonlinear and non-stationary characteristics of ET_o time series pose challenges for conventional prediction models. Given this, in this study we evaluate eight decomposition-hybrid models that integrate various decomposition techniques with a long short-term memory (LSTM) network to enhance short-term (5-day, 7-day, and 10-day) ET_o forecasting. …”
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Analysis of a mathematical model for malaria using data-driven approach by Adithya Rajnarayanan, Manoj Kumar, Abdessamad Tridane

Subjects: “…Malaria model…”
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Characterization method of basalt fiber dispersion uniformity in rubber composite matrix and its effect on properties by Donglin Zhu, Shaoming Li, Yukun zhou, Hui Xu, Longyu Wang, Yufei Hong, Chuansheng Wang, Huiguang Bian, Mingchao wang

“…This paper proposes a method for detecting and characterizing the uniformity of basalt fibers in rubber composites based on machine vision technology, and establishes a mathematical model for uniformity detection and builds an experimental platform, which realizes the characterization of the uniformity of basalt fibers in rubber. …”
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Research on the Composite Scattering Characteristics of a Rough-Surfaced Vehicle over Stratified Media by Chenzhao Yan, Xincheng Ren, Jianyu Huang, Yuqing Wang, Xiaomin Zhu

Subjects: “…composite electromagnetic scattering…”
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COMPARISON OF THE RESULTS OF CALCULATION OF ENGINEERING CONSTANTS OF POLYMER-METALLIC COMPOSITES OBTAINED BY VARIOUS METHODS by E.D. Kartashova, A.Yu. Muizemnek

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The Impact of Dividend Policy on Liquidity Risk Components Based on Covariance Decomposition by Hamidreza Moazeni, Saeed Fathi

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A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…Geological hazards in densely vegetated mountainous regions are challenging to detect due to terrain concealment and the limitations of traditional visualization methods. This study introduces the LiDAR image highlighting algorithm (LIHA), a novel approach for enhancing micro-topographical features in digital elevation models (DEMs) derived from airborne LiDAR data. …”
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