Gaussian Process Regression with a Hybrid Risk Measure for Dynamic Risk Management in the Electricity Market by Abhinav Das, Stephan Schlüter

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Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression by Pavel Ferkl, Preeti Malviya, Pavel Hrma, Albert A. Kruger, Ashutosh Goel

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Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition by Zhaoxiong Han

Subjects: “…Gaussian process regression…”
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Model Calibration Method for Soft Sensors Using Adaptive Gaussian Process Regression by Wei Guo, Tianhong Pan, Zhengming Li, Shan Chen

Subjects: “…Gaussian process regression…”
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Degradation and reliability assessment of accuracy life of RV reducers by XU Hang, NIE Yixuan, WEN Dongjie, REN Jihua, HONG Zhihui

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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

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Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

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Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule by Liu Zhang, Bo Xing, Yanbing Gao, Lei Yao, Dengfeng Zhao, Jinquan Ding, Yanyan Li

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Blending physics with data using an efficient Gaussian process regression with soft inequality and monotonicity constraints by Didem Kochan, Xiu Yang

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Machine Learning-Based Scrap Steel Price Forecasting for the Northeast Chinese Market by Bingzi Jin, Xiaojie Xu

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State of Health Estimation of Li-Ion Batteries Based on Differential Thermal Voltammetry and Gaussian Process Regression by ZHU Haoran, CHEN Ziqiang, YANG Deqing

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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

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A Nonintrusive Nonlinear Model Reduction Method for Thermal Cycling-Induced Viscoplastic Deformation Problems Based on Segmented Gaussian Process Regression Machine Learning by Jiunn-Horng Lee, Chia-Hsiu Ou, Chih-Min Yao, Ming-Hsiao Lee

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Link quality prediction model based on Gaussian process regression by Jian SHU, Manlan LIU, Yaqing SHANG, Yubin CHEN, Linlan LIU

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Mechanical and durability properties of coal cinder concrete: Experimental study and GPR-based analysis by Ali Toghroli, Seyed Azim Hosseini, Farshid Farokhizadeh

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Application of machine learning in asphalt and concrete material testing: A comprehensive review by Khorshidi Meisam, Dave Eshan, Sias Jo

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Machine Learning-Based Modeling of Hot Carrier Injection in 40 nm CMOS Transistors by Xhesila Xhafa, Ali Dogus Gungordu, Mustafa Berke Yelten

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Reconstruction of the scalar field potential in nonmetricity gravity through Gaussian processes by Gaurav N. Gadbail, Sanjay Mandal, P.K. Sahoo, Kazuharu Bamba

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Artificial Intelligence-Assisted Machine Learning Methods for Forecasting Green Bond Index: A Comparative Analysis by Ahmed İhsan Şimşek, Yunus Emre Gür, Emre Bulut

Subjects: “…rational quadratic gaussian process regression…”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

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