Identification of materials through SVM classification of their LIBS spectra
Laser Induced Breakdown Spectroscopy is a strong analytical method for qualitative studies and Support Vector Machines (SVM) is a powerful machine learning technique for pattern recognition and classification. In this paper we present an application of LIBS qualitative capability reinforced by SVM c...
Saved in:
Main Authors: | Haider, Zuhaib, Munajat, Yusof, Kamarulzaman, Raja Ibrahim, Rashid, Munaf |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/50009/1/ZuhaibHaider2013_Identificationofmaterialsthrough.pdf http://eprints.utm.my/id/eprint/50009/ https://dx.doi.org/10.11113/jt.v62.1897 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Element identification of different gemstones by using LIBS-PCA method
by: Mohamad Saufi, Noradilah, et al.
Published: (2022) -
A brief discussion on laser-induced breakdown spectroscopy (LIBS) and proposed methodology
by: Haider, Zuhaib, et al.
Published: (2011) -
Detection of calcium in rice using laser-induced breakdown spectroscopy (LIBS)
by: Abdul Wahid, Rahmat, et al.
Published: (2014) -
Comparison of single pulse and double simultaneous pulse laser induced breakdown spectroscopy
by: Haider, Zuhaib, et al.
Published: (2015) -
Comparison and optimizaiton of gated and ungated libs systems
by: Sim, Yit Ching
Published: (2017)