On Estimating Air Pollution from Photos Using Convolutional Neural Network-Reference-Cited by-同舟云学术

On Estimating Air Pollution from Photos Using Convolutional Neural Network

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM international conference on Multimedia
language:
Short-container-title:

Author:

Zhang Chao¹,Yan Junchi²,Li Changsheng³,Rui Xiaoguang³,Liu Liang³,Bie Rongfang⁴

Affiliation:

1. Beijing Normal University & IBM Research - China, Beijing, China

2. East China Normal University & IBM Research - China, Beijing, China

3. IBM Research - China, Beijing, China

4. Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

the Fundamental Research Funds for the Central Universities

SRF for ROCS SEM

China Postdoctoral Science Foundation Funded Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2964284.2967230

Reference25 articles.

1. http://210.72.1.216:8080/gzaqi/Document/gjzlbz.pdf. Accessed: 2016-07--19. http://210.72.1.216:8080/gzaqi/Document/gjzlbz.pdf. Accessed: 2016-07--19.

2. http://zx.bjmemc.com.cn/. Accessed: 2016-07--19. http://zx.bjmemc.com.cn/. Accessed: 2016-07--19.

3. Learning long-term dependencies with gradient descent is difficult

4. Big smog meets web science

Cited by 91 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probing the capacity of a spatiotemporal deep learning model for short-term PM2.5 forecasts in a coastal urban area;Science of The Total Environment;2024-11

2. Transforming air pollution management in India with AI and machine learning technologies;Scientific Reports;2024-09-02

3. Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India;ACM Journal on Computing and Sustainable Societies;2024-08-02

4. A Hybrid Decision-Tree and ANN Learning Model for Air Contamination Forecasting;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

5. Advancing river monitoring using image-based techniques: challenges and opportunities;Hydrological Sciences Journal;2024-04-22