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Exposure to poor indoor air quality poses significant health risks, necessitating thorough assessment to mitigate associated dangers. This study aims to predict hourly indoor fine particulate matter (PM2.5) concentrations and investigate…

Machine Learning · Computer Science 2024-05-14 Wenhua Yu , Bahareh Nakisa , Seng W. Loke , Svetlana Stevanovic , Yuming Guo , Mohammad Naim Rastgoo

Air pollution poses a serious threat to human health as well as economic development around the world. To meet the increasing demand for accurate predictions for air pollutions, we proposed a Deep Inferential Spatial-Temporal Network to…

Machine Learning · Computer Science 2018-09-12 Hao Wang , Bojin Zhuang , Yang Chen , Ni Li , Dongxia Wei

Wildfire frequency is increasing as the climate changes, and the resulting air pollution poses health risks. Just as people routinely use hourly weather forecasts to plan their day's activities around precipitation, reliable hourly air…

Machine Learning · Computer Science 2025-09-03 Renato Berlinghieri , David R. Burt , Paolo Giani , Arlene M. Fiore , Tamara Broderick

Particulate matter pollution is one of the deadliest types of air pollution worldwide due to its significant impacts on the global environment and human health. Particulate Matter (PM2.5) is one of the important particulate pollutants to…

Signal Processing · Electrical Eng. & Systems 2020-02-27 Jalpa Shah , Biswajit Mishra

Air pollution constitutes a global problem of paramount importance that affects not only human health, but also the environment. The existence of spatial and temporal data regarding the concentrations of pollutants is crucial for performing…

Machine Learning · Computer Science 2024-02-13 Teresa Bernardino , Maria Alexandra Oliveira , João Nuno Silva

Air pollution is a common and serious problem nowadays and it cannot be ignored as it has harmful impacts on human health. To address this issue proactively, people should be aware of their surroundings, which means the environment where…

Machine Learning · Computer Science 2024-04-16 Kamaljeet Kaur Sidhu , Habeeb Balogun , Kazeem Oluwakemi Oseni

This paper presents an engine able to predict jointly the real-time concentration of the main pollutants harming people's health: nitrogen dioxyde (NO2), ozone (O3) and particulate matter (PM2.5 and PM10, which are respectively the…

Machine Learning · Computer Science 2020-02-25 Grégoire Jauvion , Thibaut Cassard , Boris Quennehen , David Lissmyr

Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are…

Machine Learning · Computer Science 2023-07-04 Hemanth Karnati

In this proof-of-concept study, we conduct multivariate timeseries forecasting for the concentrations of nitrogen dioxide (NO2), ozone (O3), and (fine) particulate matter (PM10 & PM2.5) with meteorological covariates between two locations…

Machine Learning · Computer Science 2024-10-04 Valentijn Oldenburg , Juan Cardenas-Cartagena , Matias Valdenegro-Toro

Air pollution is a major public health problem worldwide although the lack of data is a global issue for most low and middle income countries. Ambient air pollution in the form of fine particulate matter (PM2.5) exceeds the World Health…

Machine Learning · Statistics 2022-05-23 Paterne Gahungu , Jean Remy Kubwimana

The most recent concern of all people on Earth is the increase in the concentration of greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over the last century and if the trend continues it can cause many…

Machine Learning · Computer Science 2022-11-16 Samveg Shah , Shubham Thakar , Kashish Jain , Bhavya Shah , Sudhir Dhage

Air pollution remains a leading global health and environmental risk, particularly in regions vulnerable to episodic air pollution spikes due to wildfires, urban haze and dust storms. Accurate forecasting of particulate matter (PM)…

Deep learning is a machine learning approach that produces excellent performance in various applications, including natural language processing, image identification, and forecasting. Deep learning network performance depends on the…

Machine Learning · Computer Science 2023-06-14 Andri Pranolo , Yingchi Mao , Aji Prasetya Wibawa , Agung Bella Putra Utama , Felix Andika Dwiyanto

This paper presents an engine able to forecast jointly the concentrations of the main pollutants harming people's health: nitrogen dioxide (NO2), ozone (O3) and particulate matter (PM2.5 and PM10, which are respectively the particles whose…

Machine Learning · Computer Science 2021-10-15 Thibaut Cassard , Grégoire Jauvion , Antoine Alléon , Boris Quennehen , David Lissmyr

The first part of this paper introduces a portfolio approach for quantifying the risk measures of pollution risk in the presence of dependence of PM$_{2.5}$ concentration of cities. The model is based on a copula dependence structure. For…

Applications · Statistics 2016-02-18 Halis Sak , Guanyu Yang , Bailiang Li , Weifeng Li

This is a relevant problem because the design of most cities prioritizes the use of motorized vehicles, which has degraded air quality in recent years, having a negative effect on urban health. Modeling, predicting, and forecasting ambient…

Neural and Evolutionary Computing · Computer Science 2020-10-07 Jamal Toutouh

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

Fine particulate matter (PM$_{2.5}$) is one of the criteria air pollutants regulated by the Environmental Protection Agency in the United States. There is strong evidence that ambient exposure to (PM$_{2.5}$) increases risk of mortality and…

Machine Learning · Statistics 2018-10-31 M. Benjamin Sabath , Qian Di , Danielle Braun , Joel Schwarz , Francesca Dominici , Christine Choirat

The influence of human activity own the earth's atmospheric composition has never been more pronounced. Anthropogenic pollution is in fact the largest effector of the observed evolving atmospheric composition (Wallace, 2006). PM2.5 is a…

Atmospheric and Oceanic Physics · Physics 2022-12-19 Rickie Xian , Dylan Jones

One way to quantify exposure to air pollution and its constituents in epidemiologic studies is to use an individual's nearest monitor. This strategy results in potential inaccuracy in the actual personal exposure, introducing bias in…