Unsupervised and Supervised Learning based Classification Models for Air Pollution Data
2nd Global Conference for Advancement in Technology, GCAT 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1537709
ABSTRACT
As far as, air quality index (AQI) is concerned, the long duration lockdown that was applied in India in year 2020 due to Covid-19 pandemic was very fruitful. The reason being, due to complete ban on the movement of people and automobiles, the air became so pure and clean, and AQI value went much down. The secondary air pollution data of the lockdown duration, for Uttarakhand, is the base of this research work. This work attempts to design unsupervised and supervised classification models to classify the provided data into two classes i.e class 1 ('clean') and class 2 ('hazardous') using MATLAB. The techniques used are FCM clustering and Probabilistic neural network (PNN). Eventually, a comparative study of the performance of both models is performed. © 2021 IEEE.
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Database:
Scopus
Language:
English
Journal:
2nd Global Conference for Advancement in Technology, GCAT 2021
Year:
2021
Document Type:
Article
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