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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 83(2021), 5 vom: 15. März, Seite 1039-1054
1. Verfasser: Ismail, Azimah (VerfasserIn)
Weitere Verfasser: 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: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Water science and technology : a journal of the International Association on Water Pollution Research
Schlagworte:Journal Article Hydrocarbons Polycyclic Aromatic Hydrocarbons