Stochastic Process-Based Inversion of Electromagnetic Data for Hydrocarbon Resistivity Estimation in Seabed Logging by Muhammad Naeim Mohd Aris, Hanita Daud, Khairul Arifin Mohd Noh, Sarat Chandra Dass

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A Novel Methodology for Hydrocarbon Depth Prediction in Seabed Logging: Gaussian Process-Based Inverse Modeling of Electromagnetic Data by Hanita Daud, Muhammad Naeim Mohd Aris, Khairul Arifin Mohd Noh, Sarat Chandra Dass

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A comparative study on the performance of covariance functions in gaussian process regression model : Application to global wheat price by Nahamizun, Maamor, Hanita, Daud, Muhammad Naeim, Mohd Aris, Nor Izzati, Jaini, Mahmod, Othman, Evizal, Abdul Kadir

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A Comparative Study on the Performance of Covariance Functions in Gaussian Process Regression model: Application to Global Wheat Price by Nahamizun, Maamor, Hanita, Daud, Muhammad Naeim, Mohd Aris, Nor Izzati, Jaini, Othman, Mahmod, Evizal, Abdul Kadir

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Gaussian Process-Based Inversion: A New Approach for Estimating Hydrocarbon Parameters in Controlled-Source Electromagnetic Application by Muhammad Naeim Mohd Aris, Hanita Daud, Sarat Chandra Dass, Shalini Nagaratnam, Noryanti Muhammad, Evizal Abdul Kadir, Warih Maharani

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