Air Pollution Matter Prediction Using Recurrent Neural Networks with Sequential Data-Reference-Cited by-同舟云学术

Air Pollution Matter Prediction Using Recurrent Neural Networks with Sequential Data

Published:2019-03-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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Author:

Lim Yong Beom¹,Aliyu Ibrahim¹,Lim Chang Gyoon¹

Affiliation:

1. Dept of Computer Engineering, Chonnam National Univ., Yeosu, Jeonnam, S. Korea

Funder

Ministry of SMEs and Startups(MSS), Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3325773.3325788

Reference11 articles.

1. A Socio-economic Loss of Respiratory Disease Caused by Particulate Matter Pollution: Focusing on Panel VAR Model;Rhee H. C.;The Korean Society of Management Consulting,2018

2. Chemical speciation of respirable suspended particulate matter during a major firework festival in India

3. Multiple linear regression (MLR) models for long term PM10 concentration forecasting during different monsoon seasons;Abdullah S.;Journal of Sustainability Science and Management,2017

4. Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy

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