AIX Implementation in Image-Based PM2.5 Estimation: Toward an AI Model for Better Understanding-Reference-Cited by-同舟云学术

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AIX Implementation in Image-Based PM2.5 Estimation: Toward an AI Model for Better Understanding

Published:2023-02-21 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Knowledge and Smart Technology (KST)
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Author:

Utomo Sapdo¹,John A²,Pratap Ayush³,Jiang Zhi-Sheng²,Karthikeyan P.²,Hsiung Pao-Ann²

Affiliation:

1. National Chung Cheng University,Grad. Ins. Ambient Intelligence and Smart Systems,Chiayi County,Taiwan R.O.C

2. National Chung Cheng University,Dept. of Computer Science and Information Engineering,Chiayi County,Taiwan R.O.C

3. Indian Institute of Technology,Dept. of Metallurgical and Materials Engineering,Ropar,Rupnagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10086703/10086713/10086917.pdf?arnumber=10086917

Reference24 articles.

1. Image-Based Air Quality Estimation

2. A PM2.5 concentration estimation method based on multi-feature combination of image patches

3. Real‐Time and Image‐Based AQI Estimation Based on Deep Learning

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4. A wearable-based sports health monitoring system using CNN and LSTM with self-attentions;PLOS ONE;2023-10-11

5. Eff-AQI: An Efficient CNN-Based Model for Air Pollution Estimation: A Study Case in India;Proceedings of the 2023 ACM Conference on Information Technology for Social Good;2023-09-06

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