An improved air quality and climate control monitoring system using fuzzy logic for enclosed areas-Reference-Cited by-同舟云学术

An improved air quality and climate control monitoring system using fuzzy logic for enclosed areas

Published:2022-03-28 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Bushnag Anas^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-03814-z.pdf

Reference23 articles.

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2. Allahviranloo T, Saneifard R (2012) Defuzzification method for ranking fuzzy numbers based on center of gravity. Iranian Journal of Fuzzy System, pp 57–67.

3. Bushnag A (2020) Air quality and climate control arduino monitoring system using fuzzy logic for indoor environments. In: 2020 International conference on control, automation and diagnosis (ICCAD), pp 1–6. https://doi.org/10.1109/ICCAD49821.2020.9260514

4. Chakma A, Vizena B, Cao T, Lin J, Zhang J(2017) Image-based air quality analysis using deep convolutional neural network. In 2017 IEEE international conference on image processing (ICIP), pp 3949–3952. https://doi.org/10.1109/ICIP.2017.8297023

5. Ganesh SS, Reddy NB, Arulmozhivarman P (2017) Forecasting air quality index based on mamdani fuzzy inference system. In: 2017 international conference on trends in electronics and informatics (ICEI), pp 338–341. https://doi.org/10.1109/ICOEI.2017.8300944

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