ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters-Reference-Cited by-同舟云学术

ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters

Published:2022-12-17 Issue: Volume: Page:
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Container-title:2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)
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Author:

Salim Azlan¹,Yassin Ihsan Mohd²,Mahmood Mohd Khairil Adzhar²,Khan Zuhani Ismail²,Ali Megat Syahirul Amin Megat²,Shariff Khairul Khaizi Mohd²,Osman Fairul Nazmie³,Ahmad Adizul³,Eskandari Farzad⁴

Affiliation:

1. Universiti Teknologi Mara (UiTM),Fakulti Pengurusan Hotel dan Pelancongan,Permatang Pauh,Malaysia

2. Universiti Teknologi Mara (UiTM),Microwave Research Institute (MRI),Shah Alam,Malaysia

3. Universiti Teknologi Mara (UiTM),College of Engineering,Shah Alam,Malaysia

4. Allameh Tabataba'i University,Faculty of Statistics, Mathematics & Computers,Tehran,Islamic Republic of Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10001753/10001737/10001741.pdf?arnumber=10001741

Reference20 articles.

1. Chromatographic Methods for Coffee Analysis: A Review

2. Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images

3. Nondestructive and noncontact dielectric measurement method for high-loss liquids using free space microwave measurement system in 8 - 12.5 GHz frequency range

4. On-line coffee flavour formation analysis using PTR-ToF-MS during roasting under different atmospheres;smrke,2018

5. Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach

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