APPROACH TO DEPRESS THE BOUNDARY EFFECT IN EEMD ANALYSIS BASED ON IMPROVED SVR by CHAI Kai, ZHANG MeiJun, HUANG Jie, XU Wei

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The Optimal Machine Learning Model for the Precise Prediction of HighPerformance Concrete Strength Property by Yufeng Qian

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Analysis of inductive power transfer systems by metamodeling techniques by Pei, Yao, Pichon, Lionel, Bensetti, Mohamed, Le Bihan, Yann

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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

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Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms by Argyros Maris

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Estimating the Pile Settlement Using a Machine Learning Technique Optimized by Henry's Gas Solubility Optimization and Particle Swarm Optimization by Saravana Kumar, Savarimuthu Robinson

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Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting by Juan Carlos Moreno Sánchez, Héctor Gabriel Acosta Mesa, Adrián Trueba Espinosa, Sergio Ruiz Castilla, Farid García Lamont

Subjects: “…Support vector regression…”
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Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information by Felipe Cifuentes, Angel Gálvez, Carlos M. González, Mauricio Orozco-Alzate, Beatriz H. Aristizábal

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Modeling Compressive Strength of Self-Compacting Concrete (SCC) Using Novel Optimization Algorithm of AOA by Francisca Blanco, Ye Woo

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Research on Performance Degradation Prediction Method of Electric Vehicle Reducers Based on MDS-GA-SVR by He Yinda, Li Weilin, Chen Feng, He Qingchuan, Pan Jun, Ma Xingjian

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Estimation of the Compressive Strength of Self-Compacting Concrete (SCC) by a Machine Learning Technique Coupling with Novel Optimization Algorithms by Ling Chen, Wengang Jiang

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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

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Utilization of metaheuristic-based regression analysis to calculate the modified high-performance concrete's compressive strength by Liming Mu

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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application by Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo

Subjects: “…Twin support vector regression machine…”
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Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

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An Ultra‐Short‐Term Multi‐Step Prediction Model for Wind Power Based on Sparrow Search Algorithm, Variational Mode Decomposition, Gated Recurrent Unit, and Support Vector Regressio... by Yulong Chen, Xue Hu, Xiaoming Liu, Lixin Zhang

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The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength by Rami Al-Qasimi, Firas Al-Hajri

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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

Subjects: “…Fractional Whale Optimization Algorithm-Enhanced Support Vector Regression…”
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Evaluation of Ecosystem Health Based on AWDO-SVR Algorithm in Shiyang River Basin by WANG Wenchuan, LI Lei, ZHENG Ye, XU Dongmei, XU Lei

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