Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM)

Masoud Shaloo; Gábor Princz

doi:10.5220/0012254400003543

Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM)

Masoud Shaloo
, Gábor Princz

Institute of Industrial Engineering and Management

University of Applied Sciences Wiener Neustadt

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	227-235
Number of pages	9
Journal	Proceedings of the International Conference on Informatics in Control, Automation and Robotics
Volume	2
DOIs	https://doi.org/10.5220/0012254400003543
Publication status	Published - 2023
Event	20th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2023 - Rome, Italy Duration: 13 Nov 2023 → 15 Nov 2023

Keywords

Artificial Intelligence
Industry 4.0
Light Spectroscopy
Smart Manufacturing
Support Vector Machine

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10.5220/0012254400003543

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title = "Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM)",

keywords = "Artificial Intelligence, Industry 4.0, Light Spectroscopy, Smart Manufacturing, Support Vector Machine",

author = "Masoud Shaloo and G{\'a}bor Princz",

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T1 - Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM)

AU - Shaloo, Masoud

AU - Princz, Gábor

PY - 2023

Y1 - 2023

KW - Artificial Intelligence

KW - Industry 4.0

KW - Light Spectroscopy

KW - Smart Manufacturing

KW - Support Vector Machine

UR - https://www.scopus.com/pages/publications/85181805928

U2 - 10.5220/0012254400003543

DO - 10.5220/0012254400003543

M3 - Conference article

AN - SCOPUS:85181805928

SN - 2184-2809

VL - 2

SP - 227

EP - 235

JO - Proceedings of the International Conference on Informatics in Control, Automation and Robotics

JF - Proceedings of the International Conference on Informatics in Control, Automation and Robotics

T2 - 20th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2023

Y2 - 13 November 2023 through 15 November 2023

ER -

Real-Time Material Identification Using Light Spectroscopy and Support Vector Machine (SVM)

Keywords

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