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Support vector machines for oil classification link with polyaromatic hydrocarbon contamination in the environment

The main focus of this study is exploring the spatial distribution of polyaromatics hydrocarbon links between oil spills in the environment via Support Vector Machines based on Kernel-Radial Basis Function (RBF) approach for high precision classification of oil spill type from its sample fingerprint...

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Bibliographic Details
Main Authors: Ismail, Azimah, Juahir, Hafizan, Mohamed, Saiful Bahri, Toriman, Mohd Ekhwan, Kassim, Azlina Md, Zain, Sharifuddin Md, Monajemi, Hadieh, Ahmad, Wan Kamaruzaman Wan, Zali, Munirah Abdul, Retnam, Ananthy, Taib, Mohd Zaki Mohd, Mokhtar, Mazlin, Abdullah, Siti Nor Fazillah
Format: Article
Published: IWA Publishing 2021
Subjects:
GE Environmental Sciences
QD Chemistry
Online Access:http://eprints.um.edu.my/34524/
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http://eprints.um.edu.my/34524/

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