A systematic review of data mining and machine learning for air pollution epidemiology

C Bellinger, MS Mohomed Jabbar, O Zaïane… - BMC public health, 2017 - Springer
Background Data measuring airborne pollutants, public health and environmental factors
are increasingly being stored and merged. These big datasets offer great potential, but also …

Risk perception of air pollution: A systematic review focused on particulate matter exposure

L Cori, G Donzelli, F Gorini, F Bianchi… - International Journal of …, 2020 - mdpi.com
The adverse health effects of exposure to air pollutants, notably to particulate matter (PM),
are well-known, as well as the association with measured or estimated concentration levels …

Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures

T Yigitcanlar, R Mehmood, JM Corchado - Sustainability, 2021 - mdpi.com
Smart cities and artificial intelligence (AI) are among the most popular discourses in urban
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …

Air pollution lowers Chinese urbanites' expressed happiness on social media

S Zheng, J Wang, C Sun, X Zhang, ME Kahn - Nature human behaviour, 2019 - nature.com
High levels of air pollution in China may contribute to the urban population's reported low
level of happiness,–. To test this claim, we have constructed a daily city-level expressed …

Applications of topic models

J Boyd-Graber, Y Hu, D Mimno - Foundations and Trends® in …, 2017 - nowpublishers.com
How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

The interaction effect between public environmental concern and air pollution: Evidence from China

C Yu, H Long, X Zhang, Y Tan, Y Zhou, C Zang… - Journal of Cleaner …, 2023 - Elsevier
Prior studies have explored the relationship between public environmental concerns and air
pollution, but the interaction effects and spatial factors under a systematic framework have …

[PDF][PDF] That's so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using# …

WY Wang, D Yang - Proceedings of the 2015 conference on …, 2015 - aclanthology.org
We propose a novel data augmentation approach to enhance computational behavioral
analysis using social media text. In particular, we collect a Twitter corpus of the descriptions …

Using social media to detect outdoor air pollution and monitor air quality index (AQI): a geo-targeted spatiotemporal analysis framework with Sina Weibo (Chinese …

W Jiang, Y Wang, MH Tsou, X Fu - PloS one, 2015 - journals.plos.org
Outdoor air pollution is a serious problem in many developing countries today. This study
focuses on monitoring the dynamic changes of air quality effectively in large cities by …

[图书][B] Social monitoring for public health

MJ Paul, M Dredze - 2017 - books.google.com
Public health thrives on high-quality evidence, yet acquiring meaningful data on a
population remains a central challenge of public health research and practice. Social …

Chemical nature of PM2. 5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation

Q Dai, X Bi, B Liu, L Li, J Ding, W Song, S Bi… - Environmental …, 2018 - Elsevier
In Xi'an, a city that frequently experiences serious PM pollution in northern China, 1476 PM
10 and 1464 PM 2.5 valid daily filter samples were collected at six sites from December …