Cargando…
Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS
Laser-induced breakdown spectroscopy (LIBS) is an important analysis technique with applications in many industrial branches and fields of scientific research. Nowadays, the advantages of LIBS are impaired by the main drawback in the interpretation of obtained spectra and identification of observed...
Autores principales: | Rzecki, Krzysztof, Sośnicki, Tomasz, Baran, Mateusz, Niedźwiecki, Michał, Król, Małgorzata, Łojewski, Tomasz, Acharya, U Rajendra, Yildirim, Özal, Pławiak, Paweł |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263904/ https://www.ncbi.nlm.nih.gov/pubmed/30380626 http://dx.doi.org/10.3390/s18113670 |
Ejemplares similares
-
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals
por: Yildirim, Ozal, et al.
Publicado: (2019) -
Automated detection of COVID-19 cases using deep neural networks with X-ray images
por: Ozturk, Tulin, et al.
Publicado: (2020) -
Forensic Analysis of Commercial Inks by Laser-Induced Breakdown Spectroscopy (LIBS)
por: Cicconi, Flavio, et al.
Publicado: (2020) -
Zernike Moment Based Classification of Cosmic Ray Candidate Hits from CMOS Sensors
por: Bar, Olaf, et al.
Publicado: (2021) -
An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects
por: Sharma, Manish, et al.
Publicado: (2022)