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Related papers: Using Machine Learning in Analyzing Air Quality Di…

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Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site…

Signal Processing · Electrical Eng. & Systems 2025-06-04 Hui Zhong , Hongliang Lu , Ting Gan , Yonghong Liu , Xinhu Zheng

Air pollution is a vital issue emerging from the uncontrolled utilization of traditional energy sources as far as developing countries are concerned. Hence, ingenious air pollution forecasting methods are indispensable to minimize the risk.…

Machine Learning · Computer Science 2022-11-29 Dhanalakshmi M , Radha V

In a densely populated city like Dhaka (Bangladesh), a growing number of high-rise buildings is an inevitable reality. However, they pose mental health risks for citizens in terms of detachment from natural light, sky view, greenery, and…

Computers and Society · Computer Science 2018-12-27 Halima Akhter , Nazmus Saquib , Deeni Fatiha

With the intensification of global climate change, accurate prediction of air quality indicators, especially PM2.5 concentration, has become increasingly important in fields such as environmental protection, public health, and urban…

Machine Learning · Computer Science 2025-08-18 Zicheng Guo , Shuqi Wu , Meixing Zhu , He Guandi

Air pollution by Nitrogen Oxides (NOx) is a major concern in large cities as it has severe adverse health effects. However, the statistical properties of air pollutants are not fully understood. Here, we use methods borrowed from…

Data Analysis, Statistics and Probability · Physics 2020-01-15 Griffin Williams , Benjamin Schäfer , Christian Beck

Climate change may be classified as the most important environmental problem that the Earth is currently facing, and affects all living species on Earth. Given that air-quality monitoring stations are typically ground-based their abilities…

Machine Learning · Computer Science 2023-05-08 Andrew Rowley , Oktay Karakuş

The identification and control of human factors in climate change is a rapidly growing concern and robust, real-time air-quality monitoring and forecasting plays a critical role in allowing effective policy formulation and implementation.…

With their continued increase in coverage and quality, data collected from personal air quality monitors has become an increasingly valuable tool to complement existing public health monitoring systems over urban areas. However, the…

Applications · Statistics 2022-06-01 Matthew Bonas , Stefano Castruccio

Air pollution remains one of the most pressing environmental challenges of the modern era, significantly impacting human health, ecosystems, and climate. While traditional air quality monitoring systems provide critical data, their high…

Machine Learning · Computer Science 2025-03-17 Elie Azeraf , Audrey Wagner , Emilie Bialic , Samia Mellah , Ludovic Lelandais

As a basic human need, housing plays a key role in enhancing health, well-being, and educational outcome in society, and the housing market is a major factor for promoting quality of life and ensuring social equity. To improve the housing…

Machine Learning · Computer Science 2025-06-16 Abdalwahab Almajed , Maryam Tabar , Peyman Najafirad

Air pollution is the origination of particulate matter, chemicals, or biological substances that brings pain to either humans or other living creatures or instigates discomfort to the natural habitat and the airspace. Hence, air pollution…

Machine Learning · Computer Science 2023-06-14 Dhanalakshmi M , Radha V

Air pollution is a worldwide issue that affects the lives of many people in urban areas. It is considered that the air pollution may lead to heart and lung diseases. A careful and timely forecast of the air quality could help to reduce the…

Machine Learning · Computer Science 2022-11-21 Iryna Talamanova , Sabri Pllana

The preferential siting of the locations of monitors of hazardous environmental fields can lead to the serious underestimation of the impacts of those fields. In particular, human health effects can be severely underestimated when standard…

Applications · Statistics 2023-04-21 Adrian Jones , James V Zidek , Joe Watson

In an impending urban age where the majority of the world's population will live in cities, it is critical that we improve our understanding of the strengths and limitations of existing city designs to ensure they are safe, clean, can…

This study investigates the interplay among social demographics, built environment characteristics, and environmental hazard exposure features in determining community level cancer prevalence. Utilizing data from five Metropolitan…

Machine Learning · Computer Science 2023-06-26 Chenyue Liu , Ali Mostafavi

Observational studies often use linear regression to assess the effect of ambient air pollution on outcomes of interest, such as human health indicators or crop yields. Yet pollution datasets are typically noisy and include only a subset of…

Applications · Statistics 2024-03-08 Dan M. Kluger , David B. Lobell , Art B. Owen

The release of toxic gases by industries, emissions from vehicles, and an increase in the concentration of harmful gases and particulate matter in the atmosphere are all contributing factors to the deterioration of the quality of the air.…

Machine Learning · Computer Science 2023-02-09 O. E. Taylor , P. S. Ezekiel

In recent years, indoor air pollution has posed a significant threat to our society, claiming over 3.2 million lives annually. Developing nations, such as India, are most affected since lack of knowledge, inadequate regulation, and outdoor…

Machine Learning · Computer Science 2024-09-24 Prasenjit Karmakar , Swadhin Pradhan , Sandip Chakraborty

Urban air pollution has been linked to various human health concerns, including cardiopulmonary diseases. Communities who suffer from poor air quality often rely on experts to identify pollution sources due to the lack of accessible tools.…

Human-Computer Interaction · Computer Science 2020-11-24 Yen-Chia Hsu , Jennifer Cross , Paul Dille , Michael Tasota , Beatrice Dias , Randy Sargent , Ting-Hao 'Kenneth' Huang , Illah Nourbakhsh

Evaluating air quality interventions is confronted with the challenge of interference since interventions at a particular pollution source likely impact air quality and health at distant locations and air quality and health at any given…

Methodology · Statistics 2023-01-04 Corwin Zigler , Vera Liu , Fabrizia Mealli , Laura Forastiere
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