Early Detection of Lung Cancer via Breath Analysis Utilising Electronic Nose-Reference-Cited by-同舟云学术

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Early Detection of Lung Cancer via Breath Analysis Utilising Electronic Nose

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
language:
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Author:

Moninuola Funmilayo S.¹,Adetiba Emmanuel¹,Atayero Anthony A.¹,Awelewa Ayokunle²,Adeyeye Ademola³,Oshin Oluwadamilola I.¹,Ameh James Gabriel¹,Abayomi Abdultaofeek⁴,Ezekiel Victor⁵

Affiliation:

1. Electrical and Information Engineering Covenant University,Ota,Nigeria

2. Covenant University,Electrical and Information Engineering,Ota,Nigeria

3. Afe Babalola University,Division of Oncology,Department of Surgery,Ado-Ekiti,Nigeria

4. Mangosuthu University of Technology,Department of Inform. & Comm. Tech.,Durban,South Africa

5. Covenant University,Mechanical Engineering,Ota,Nigeria

Funder

Covenant University, Ota, Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220343/10220448/10220490.pdf?arnumber=10220490

Reference25 articles.

1. Cloud-Assisted IoT-Enabled Smoke Monitoring System (e-Nose) Using Machine Learning Techniques

2. Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements

3. Development of mobile electronic nose for beef quality monitoring;wijaya;Procedia Comput Sci,2017

4. Noise filtering framework for electronic nose signals: An application for beef quality monitoring

5. Training and Validating a Portable Electronic Nose for Lung Cancer Screening

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