지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.2
- 수록면
- 440 - 449 (10page)
이용수
초록· 키워드
오류제보하기
In recent years, the air pollution and Air Quality Index (AQI) has been a pivotal point for researchers due to its effect on human health. Various research has been done in predicting the AQI but most of these studies, either lack dense temporal data or cover one or two air pollutant elements. In this paper, a hybrid Convolutional Neural approach integrated with recurrent neural network architecture (CNNLSTM), is presented to find air pollution inference using a multivariate air pollutant elements dataset. The aim of this research is to design a robust and real-time air pollutant forecasting system by exploiting a neural network. The proposed approach is implemented on a 24-month dataset from Seoul, Republic of Korea. The predicted results are cross-validated with the real dataset and compared with the state-of-the-art techniques to evaluate its robustness and performance. The proposed model outperforms SVM, SVM-Polynomial, ANN, and RF models with 60.17%, 68.99%, 14.6%, and 6.29%, respectively. The model performs SVM and SVM-Polynomial in predicting O3 by 78.04% and 83.79%, respectively. Overall performance of the model is measured in terms of Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and the Root Mean Square Error (RMSE).
목차
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. METHODOLOGY
4. RESULTS AND DISCUSSIONS
5. CONCLUSIONS
REFERENCE
참고문헌 (21)
참고문헌 신청
World Health Organization, Air pollution, https://www.who.int/westernpacific/healthtopics/air-pollution (Accessed February 7, 2022).
X. Li, L. Jin, and H. Kan, “Air Pollution: a Global Problem Needs Local Fixes,” Nature, Vol. 570(7762), pp. 437-439, 2019.
B. Gardiner, Choked: Life and Breath in the Age of Air Pollution, University of Chicago Press: Chicago, IL, USA, 2019.
G.H. Jang, H.H. Park, S.L. Lee, D.H. Kim, and M.K. Lim, “An Effective Extraction Algorithm of Pulmonary Regions Using Intensity-level Maps in Chest X-ray Images,” Journal of Korea Multimedia Society, Vol. 13, No. 7, pp. 1062-1075, 2010.
W. Cheng, Y. Shen, Y. Zhu, and L. Huang, “A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations,” Thirty-second AAAI Conference on Artificial Intelligence, pp. 2151-2158, April, 2018.
B. Gardiner, Choked: Life and Breath in the Age of Air Pollution, University of Chicago Press: Chicago, IL, USA, 2019.
G.H. Jang, H.H. Park, S.L. Lee, D.H. Kim, and M.K. Lim, “An Effective Extraction Algorithm of Pulmonary Regions Using Intensity-level Maps in Chest X-ray Images,” Journal of Korea Multimedia Society, Vol. 13, No. 7, pp. 1062-1075, 2010.
W. Cheng, Y. Shen, Y. Zhu, and L. Huang, “A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations,” Thirty-second AAAI Conference on Artificial Intelligence, pp. 2151-2158, April, 2018.
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