Pixel-wise depth based intelligent station for inferring fine-grained PM2.5-Reference-Cited by-同舟云学术

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Pixel-wise depth based intelligent station for inferring fine-grained PM2.5

Published:2019-03 Issue: Volume:92 Page:84-92
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Xi Teng,Tian Ye^ORCID,Li Xiong,Gao Hui,Wang Wendong

Funder

Natural Science Foundation of Hunan Province

Uppsala Universitet

State Key Laboratory of Networking and Switching Technology

National Natural Science Foundation of China

National High-tech Research and Development Program

Fundamental Research Funds for the Central Universities

China Scholarship Council

Beijing University of Posts and Telecommunications

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference28 articles.

1. Linked data analytics in interdisciplinary studies: The health impact of air pollution in urban areas;Fotopoulou;IEEE Access,2016

2. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the global burden of disease study 2010;Lim;Lancet,2012

3. Y. Zheng, F. Liu, H.P. Hsieh, U-air: when urban air quality inference meets big data, in: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Chicago, Illinois, USA, August 11th - 14th, 2013, pp. 1436–1444.

4. Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users preferences;Liu;Future Gener. Comput. Syst.,2018

5. Mobile crowdsensing as a service: a platform for applications on top of sensing clouds;Merlino;Future Gener. Comput. Syst.,2016

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2. Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis;Environmental Modelling & Software;2022-03

3. Current advances and future challenges of AIoT applications in particulate matters (PM) monitoring and control;Journal of Hazardous Materials;2021-10

4. IoT-Based Approaches for Monitoring the Particulate Matter and Its Impact on Health;IEEE Internet of Things Journal;2021-08-01

5. Mitigating drought and landslide simultaneously for mountain tribes of Taiwan: hydrogeological investigation, modelling, and development of an intelligent hazard prevention system;Natural Hazards;2020-06-24

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