|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM322815800 |
| 003 |
DE-627 |
| 005 |
20231225182838.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231225s2021 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.2166/wst.2021.038
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1076.xml
|
| 035 |
|
|
|a (DE-627)NLM322815800
|
| 035 |
|
|
|a (NLM)33724935
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Ismail, Azimah
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Support vector machines for oil classification link with polyaromatic hydrocarbon contamination in the environment
|
| 264 |
|
1 |
|c 2021
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 18.03.2021
|
| 500 |
|
|
|a Date Revised 18.03.2021
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a 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 fingerprinting in Peninsular Malaysia. The results show the highest concentrations of Σ Alkylated PAHs and Σ EPA PAHs in ΣTAH concentration in diesel from the oil samples PP3_liquid and GP6_Jetty achieving 100% classification output, corresponding to coherent decision boundary and projective subspace estimation. The high dimensional nature of this approach has led to the existence of a perfect separability of the oil type classification from four clustered oil type components; i.e diesel, bunker C, Mixture Oil (MO), lube oil and Waste Oil (WO) with the slack variables of ξ ≠ 0. Of the four clusters, only the SVs of two are correctly predicted, namely diesel and MO. The kernel-RBF approach provides efficient and reliable oil sample classification, enabling the oil classification to be optimally performed within a relatively short period of execution and a faster dataset classification where the slack variables ξ are non-zero
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
7 |
|a Hydrocarbons
|2 NLM
|
| 650 |
|
7 |
|a Polycyclic Aromatic Hydrocarbons
|2 NLM
|
| 700 |
1 |
|
|a Juahir, Hafizan
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Mohamed, Saiful Bahri
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Toriman, Mohd Ekhwan
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Kassim, Azlina Md
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Zain, Sharifuddin Md
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Monajemi, Hadieh
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Ahmad, Wan Kamaruzaman Wan
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Zali, Munirah Abdul
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Retnam, Ananthy
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Taib, Mohd Zaki Mohd
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Mokhtar, Mazlin
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Abdullah, Siti Nor Fazillah
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Water science and technology : a journal of the International Association on Water Pollution Research
|d 1986
|g 83(2021), 5 vom: 15. März, Seite 1039-1054
|w (DE-627)NLM098149431
|x 0273-1223
|7 nnns
|
| 773 |
1 |
8 |
|g volume:83
|g year:2021
|g number:5
|g day:15
|g month:03
|g pages:1039-1054
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.2166/wst.2021.038
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 83
|j 2021
|e 5
|b 15
|c 03
|h 1039-1054
|