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

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

This research describes an intelligent method for differentiating coffee roasting levels based on Microwave Non- Destructive Testing (MNDT) data. The MNDT method collects s-parameter readings from several types of coffee (dark, medium, and light roast) by passing microwaves through them. Error-Corre...

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Published in:2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings
Main Author: Salim A.; Yassin I.M.; Mahmood M.K.A.; Khan Z.I.; Ali M.S.A.M.; Shariff K.K.M.; Osman F.N.; Ahmad A.; Eskandari F.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146693181&doi=10.1109%2fICSPC55597.2022.10001741&partnerID=40&md5=3cd6145f5e8cf7c22bbb16880e748791
id 2-s2.0-85146693181
spelling 2-s2.0-85146693181
Salim A.; Yassin I.M.; Mahmood M.K.A.; Khan Z.I.; Ali M.S.A.M.; Shariff K.K.M.; Osman F.N.; Ahmad A.; Eskandari F.
ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
2022
2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings


10.1109/ICSPC55597.2022.10001741
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146693181&doi=10.1109%2fICSPC55597.2022.10001741&partnerID=40&md5=3cd6145f5e8cf7c22bbb16880e748791
This research describes an intelligent method for differentiating coffee roasting levels based on Microwave Non- Destructive Testing (MNDT) data. The MNDT method collects s-parameter readings from several types of coffee (dark, medium, and light roast) by passing microwaves through them. Error-Correcting Output Coding Support Vector Machine (ECOC-SVM) was fed a multi-layer perceptron neural network to assess the degree of different coffee roasts. With a small number of hidden units, the ECOC-SVM could identify between the various roasts (with 6,400 data points per sample). © 2022 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author Salim A.; Yassin I.M.; Mahmood M.K.A.; Khan Z.I.; Ali M.S.A.M.; Shariff K.K.M.; Osman F.N.; Ahmad A.; Eskandari F.
spellingShingle Salim A.; Yassin I.M.; Mahmood M.K.A.; Khan Z.I.; Ali M.S.A.M.; Shariff K.K.M.; Osman F.N.; Ahmad A.; Eskandari F.
ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
author_facet Salim A.; Yassin I.M.; Mahmood M.K.A.; Khan Z.I.; Ali M.S.A.M.; Shariff K.K.M.; Osman F.N.; Ahmad A.; Eskandari F.
author_sort Salim A.; Yassin I.M.; Mahmood M.K.A.; Khan Z.I.; Ali M.S.A.M.; Shariff K.K.M.; Osman F.N.; Ahmad A.; Eskandari F.
title ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
title_short ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
title_full ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
title_fullStr ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
title_full_unstemmed ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
title_sort ECOC-SVM Classification of Coffee Roast Levels based on MNDT s-Parameters
publishDate 2022
container_title 2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings
container_volume
container_issue
doi_str_mv 10.1109/ICSPC55597.2022.10001741
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146693181&doi=10.1109%2fICSPC55597.2022.10001741&partnerID=40&md5=3cd6145f5e8cf7c22bbb16880e748791
description This research describes an intelligent method for differentiating coffee roasting levels based on Microwave Non- Destructive Testing (MNDT) data. The MNDT method collects s-parameter readings from several types of coffee (dark, medium, and light roast) by passing microwaves through them. Error-Correcting Output Coding Support Vector Machine (ECOC-SVM) was fed a multi-layer perceptron neural network to assess the degree of different coffee roasts. With a small number of hidden units, the ECOC-SVM could identify between the various roasts (with 6,400 data points per sample). © 2022 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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