Backward feature elimination for accurate pathogen recognition using portable electronic nose

Mukunthan Tharmakulasingam; Cihan Topal; Anil Fernando; Roberto La Ragione

doi:10.1109/ICCE46568.2020.9043043

Backward feature elimination for accurate pathogen recognition using portable electronic nose

Mukunthan Tharmakulasingam
, Cihan Topal
, Anil Fernando
, Roberto La Ragione

University of Surrey

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

11 Atıf (Scopus)

Özet

This paper presents the application of the backward feature elimination technique on an electronic nose (E-nose) to aid the rapid detection of pathogens using Volatile Organic Compounds (VOCs). The timely identification of pathogens is vital to facilitate control of diseases. E-noses are widely used for the identification of VOCs as a non-invasive tool. However, the identification of VOC signatures associated with microbial pathogens using E-nose is currently inefficient for the timely identification of pathogens. Therefore, we proposed an E-nose system integrating the backward feature elimination. Comprehensive experiments of backward feature elimination showed that they improve the classification accuracy.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728151861
DOI'lar	https://doi.org/10.1109/ICCE46568.2020.9043043
Yayın durumu	Yayınlandı - Oca 2020
Harici olarak yayınlandı	Evet
Etkinlik	2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States Süre: 4 Oca 2020 → 6 Oca 2020

Yayın serisi

Adı	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Hacim	2020-January
ISSN (Basılı)	0747-668X

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Ülke/Bölge	United States
Şehir	Las Vegas
Periyot	4/01/20 → 6/01/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Finansman

We would like to thank Susana Palma, Ana Traguedo, Ana Porteira, Maria Frias, Hugo Gamboa, and Ana Roque for making their comprehensive dataset available for this research. This project was jointly supported by Zoetis through the vHive initiative and LMDP project through UK BBSRC funding(Grant reference number BB/R012695/1).

Finansörler	Finansör numarası
Zoetis
Biotechnology and Biological Sciences Research Council	BB/R012695/1

Belgeye Erişim

10.1109/ICCE46568.2020.9043043

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Tharmakulasingam, M., Topal, C., Fernando, A., & Ragione, R. L. (2020). Backward feature elimination for accurate pathogen recognition using portable electronic nose. In 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 Makale 9043043 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Hac. 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE46568.2020.9043043

Tharmakulasingam, Mukunthan ; Topal, Cihan ; Fernando, Anil et al. / Backward feature elimination for accurate pathogen recognition using portable electronic nose. 2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

@inproceedings{00baf482ae1a45b88fdcc6a9856bf04d,

title = "Backward feature elimination for accurate pathogen recognition using portable electronic nose",

abstract = "This paper presents the application of the backward feature elimination technique on an electronic nose (E-nose) to aid the rapid detection of pathogens using Volatile Organic Compounds (VOCs). The timely identification of pathogens is vital to facilitate control of diseases. E-noses are widely used for the identification of VOCs as a non-invasive tool. However, the identification of VOC signatures associated with microbial pathogens using E-nose is currently inefficient for the timely identification of pathogens. Therefore, we proposed an E-nose system integrating the backward feature elimination. Comprehensive experiments of backward feature elimination showed that they improve the classification accuracy.",

keywords = "Backward feature elimination, Electronic nose, Machine learning, Pathogen detection",

author = "Mukunthan Tharmakulasingam and Cihan Topal and Anil Fernando and Ragione, \{Roberto La\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 ; Conference date: 04-01-2020 Through 06-01-2020",

year = "2020",

month = jan,

doi = "10.1109/ICCE46568.2020.9043043",

language = "English",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE International Conference on Consumer Electronics, ICCE 2020",

address = "United States",

}

Tharmakulasingam, M, Topal, C, Fernando, A & Ragione, RL 2020, Backward feature elimination for accurate pathogen recognition using portable electronic nose. in 2020 IEEE International Conference on Consumer Electronics, ICCE 2020., 9043043, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, hac. 2020-January, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Consumer Electronics, ICCE 2020, Las Vegas, United States, 4/01/20. https://doi.org/10.1109/ICCE46568.2020.9043043

Backward feature elimination for accurate pathogen recognition using portable electronic nose. / Tharmakulasingam, Mukunthan; Topal, Cihan; Fernando, Anil et al.
2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9043043 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Hac. 2020-January).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Backward feature elimination for accurate pathogen recognition using portable electronic nose

AU - Tharmakulasingam, Mukunthan

AU - Topal, Cihan

AU - Fernando, Anil

AU - Ragione, Roberto La

PY - 2020/1

Y1 - 2020/1

N2 - This paper presents the application of the backward feature elimination technique on an electronic nose (E-nose) to aid the rapid detection of pathogens using Volatile Organic Compounds (VOCs). The timely identification of pathogens is vital to facilitate control of diseases. E-noses are widely used for the identification of VOCs as a non-invasive tool. However, the identification of VOC signatures associated with microbial pathogens using E-nose is currently inefficient for the timely identification of pathogens. Therefore, we proposed an E-nose system integrating the backward feature elimination. Comprehensive experiments of backward feature elimination showed that they improve the classification accuracy.

AB - This paper presents the application of the backward feature elimination technique on an electronic nose (E-nose) to aid the rapid detection of pathogens using Volatile Organic Compounds (VOCs). The timely identification of pathogens is vital to facilitate control of diseases. E-noses are widely used for the identification of VOCs as a non-invasive tool. However, the identification of VOC signatures associated with microbial pathogens using E-nose is currently inefficient for the timely identification of pathogens. Therefore, we proposed an E-nose system integrating the backward feature elimination. Comprehensive experiments of backward feature elimination showed that they improve the classification accuracy.

KW - Backward feature elimination

KW - Electronic nose

KW - Machine learning

KW - Pathogen detection

UR - https://www.scopus.com/pages/publications/85082598657

U2 - 10.1109/ICCE46568.2020.9043043

DO - 10.1109/ICCE46568.2020.9043043

M3 - Conference contribution

AN - SCOPUS:85082598657

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

BT - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020

Y2 - 4 January 2020 through 6 January 2020

ER -

Tharmakulasingam M, Topal C, Fernando A, Ragione RL. Backward feature elimination for accurate pathogen recognition using portable electronic nose. In 2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9043043. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE46568.2020.9043043

Backward feature elimination for accurate pathogen recognition using portable electronic nose

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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