Model-independent Calibration for Sound Horizon: Combining Observations of Supernovae and Baryon Acoustic Oscillation Measurements by Tonghua Liu, Xinyi Zhong, Marek Biesiada, Jieci Wang

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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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New Evidence for a Flux-independent Spectral Index of Sgr A* in the Near-infrared by Hadrien Paugnat, Tuan Do, Abhimat K. Gautam, Gregory D. Martinez, Andrea M. Ghez, Shoko Sakai, Grant C. Weldon, Matthew W. Hosek Jr., Zoë Haggard, Kelly Kosmo O’Neil, Eric E. Becklin, Gunther Witzel, Jessica R. Lu, Keith Matthews

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Multifilter UV to Near-infrared Data-driven Light-curve Templates for Stripped-envelope Supernovae by Somayeh Khakpash, Federica B. Bianco, Maryam Modjaz, Willow F. Fortino, Alexander Gagliano, Conor Larison, Tyler A. Pritchard

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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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Learning active flow control strategies of a swept wing by intelligent wind tunnel by Yusi Wu, Tingwei Ji, Xinyu Lv, Changdong Zheng, Zhixian Ye, Fangfang Xie

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Decentralized Multi-Agent Search for Moving Targets Using Road Network Gaussian Process Regressions by Brady Moon, Christine Akagi, Cameron K. Peterson

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Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression by Annisa Jusuf, Maulana Hayu Jarwadi, Dhimaz Galang Hastungkorojati, Leonardo Gunawan, Mahesa Akbar, Kemas Zakaria, Muhammad Faiz Izzaturrahman, Pramudita Satria Palar

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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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Multi-fidelity information fusion for turbulent transport modeling in magnetic fusion plasma by Shinya Maeyama, Mitsuru Honda, Emi Narita, Shinichiro Toda

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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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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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Railway Track Irregularity Estimation Using Car Body Vibration: A Data-Driven Approach for Regional Railway by Hitoshi Tsunashima, Nozomu Yagura

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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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Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression by Abha Pragati, Manohar Mishra, Pritam Bhowmik, Josep M. Guerrero, Debadatta Amaresh Gadanayak

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LoRa-Based Indoor Positioning in Dynamic Industrial Environments Using Deep Gaussian Process Regression and Temporal-Based Enhancements by Tarng Jian Ng, Narendra Kumar, Mohamadariff Othman

Subjects: “…Deep Gaussian process regression…”
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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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Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

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