Machine Learning and Electronic Noses for Medical Diagnostics-Reference-Cited by-同舟云学术

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Machine Learning and Electronic Noses for Medical Diagnostics

Published:2022 Issue: Volume: Page:1203-1218
ISSN:
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Wojnowski Wojciech,Kalinowska Kaja

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-64573-1_329

Reference111 articles.

1. Persaud K, Dodd G. Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature [Internet]. 1982 Sep 23 [cited 2021 Feb 28];299(5881):352–5. https://doi.org/10.1038/299352a0

2. McEntegart CM, Penrose WR, Strathmann S, Stetter JR. Detection and discrimination of coliform bacteria with gas sensor arrays. Sensors Actuators B Chem [Internet]. 2000 Nov [cited 2021 Feb 28];70(1–3):170–6. http://www.sciencedirect.com/science/article/pii/S092540050000561X

3. Santonico M, Pennazza G, Grasso S, D’Amico A, Bizzarri M. Design and test of a biosensor-based multisensorial system: a proof of concept study. Sensors (Basel) [Internet]. 2013 Jan 4 [cited 2021 Feb 28];13(12):16625–40. http://www.mdpi.com/1424-8220/13/12/16625/htm

4. Shimizu FM, Braunger ML, Riul A, Oliveira ON. Electronic tongues. In: Smart sensors for environmental and medical applications. Wiley; 2020. p. 61–80.

5. Shepherd GM. Smell images and the flavour system in the human brain [Internet]. Vol. 444, Nature. Nature Publishing Group; [Internet] 2006 [cited 2021 Feb 28]. p. 316–21. https://www.nature.com/articles/nature05405

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1. Electronic Nose Based on AI-capable Sensor Module for Beverages Identification;2024 47th International Spring Seminar on Electronics Technology (ISSE);2024-05-15

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