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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Monthly Runoff Forecasting Model Based on Electrostatic DischargeAlgorithm-Mixed Kernel SVM and Its Application by LI Xiangrong

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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

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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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Research on the security audit model in intrusion prevention based on write-related support vector data description by LUO Jun, PAN Zhi-song, MIAO Zhi-min, HU Gu-yu

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Fault Diagnosis of Bearing based on Local Characteristic-scale Decomposition and Base-scale Entropy by Zhu Liangming, Cui Weicheng

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ROTATING MACHINERY DEGRADATION STATUS IDENTIFICATION BASED ON BI-OBJECTIVE OPTIMIZATION GENETIC ALGORITHM AND SVM by PEI MoChao, ZHANG JianJun, LI HongRu, YU He

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An exploration of machine learning approaches for early Autism Spectrum Disorder detection by Nawshin Haque, Tania Islam, Md Erfan

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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images by Miao Wu, Chuanbo Yan, Gan Sen

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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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Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition by Zaid Ghazi Hadi, Ahmed R. Ajel, Ayad Q. Al-Dujaili

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Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors by M. Rehman, M. Kamal, S. Tiwari

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Fault Diagnosis of Fan Bearings Based on an Improved Grey Wolf Optimization Algorithm and SVM by Liu Jinyan, Abulizi Maimaitireyimu, Xiang Zhicheng, Xie Lirong

Subjects: “…Support vector machine…”
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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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Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases by W. L. Yang, W. L. Yang, X. R. Su, S. Li, K. Y. Zhao, Q. Yue

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Gearbox Fault Diagnosis Method Based on Improved Multi-scale Mean Permutation Entropy and Parameter Optimization SVM by Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han

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Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM by Wang Bo, Nan Xinyuan

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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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RESEARCH ON MAGNETIC INVERSION OF 304 STAINLESS STEEL ARTIFICIAL DEFECTS WEAK MAGNETIC SIGNAL BASED ON LIBSVM by GUO MengMeng, HU Bo, PENG XianHu, LIAO LianWen

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Multi-class support vector machine-based fast algorithm for 3D-HEVC depth video intra coding by Sheng LIU, Zong-ju PENG, Jia-li CHEN, Fen CHEN, Mei YU, Gang-yi JIANG

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