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Related papers: Data-driven Air Quality Characterisation for Urban…

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High levels of air pollution may seriously affect people's living environment and even endanger their lives. In order to reduce air pollution concentrations, and warn the public before the occurrence of hazardous air pollutants, it is…

Machine Learning · Computer Science 2019-06-03 Pei Du , Jianzhou Wang , Yan Hao , Tong Niu , Wendong Yang

Human health is negatively impacted by poor air quality including increased risk for respiratory and cardiovascular disease. Due to a recent increase in extreme air quality events, both globally and locally in the United States, finer…

The nonlinear features of the relationships between concentrations of aerosol and volatile organic compounds (VOC) and oxides of nitrogen (NOx) in urban environments are derived directly from data of long-term routine measurements of NOx,…

Atmospheric and Oceanic Physics · Physics 2020-11-04 Igor B. Konovalov

Objective audio quality measurement systems often use perceptual models to predict the subjective quality scores of processed signals, as reported in listening tests. Most systems map different metrics of perceived degradation into a single…

Audio and Speech Processing · Electrical Eng. & Systems 2022-12-12 Pablo M. Delgado , Jürgen Herre

Weather forecasting plays a crucial role in supporting strategic decisions across various sectors, including agriculture, renewable energy production, and disaster management. However, the inherently dynamic and chaotic behavior of the…

Poor air quality can have a significant impact on human health. The National Oceanic and Atmospheric Administration (NOAA) air quality forecasting guidance is challenged by the increasing presence of extreme air quality events due to…

Machine Learning · Computer Science 2023-03-24 Sophia Hamer , Jennifer Sleeman , Ivanka Stajner

Analysis of overhead imagery using computer vision is a problem that has received considerable attention in academic literature. Most techniques that operate in this space are both highly specialised and require expensive manual annotation…

Air pollution constitutes the highest environmental risk factor in relation to heath. In order to provide the evidence required for health impact analyses, to inform policy and to develop potential mitigation strategies comprehensive…

Applications · Statistics 2021-08-23 Matthew L. Thomas , Gavin Shaddick , Daniel Simpson , Kees de Hoogh , James V. Zidek

There is an urgent need to build models to tackle Indoor Air Quality issue. Since the model should be accurate and fast, Reduced Order Modelling technique is used to reduce the dimensionality of the problem. The accuracy of the model, that…

Accurate and reliable air pollution forecasting is crucial for effective environmental management and policy-making. llull-environment is a sophisticated and scalable forecasting system for air pollution, inspired by previous models…

Machine Learning · Computer Science 2025-02-27 Norbert Bodendorfer

Atmospheric pollutants concentration forecasting is an important issue in air quality monitoring. Qualitair Corse, the organization responsible for monitoring air quality in Corsica (France) region, needs to develop a short-term prediction…

Neural and Evolutionary Computing · Computer Science 2013-06-06 Wani W. Tamas , Gilles Notton , Christophe Paoli , Cyril Voyant , Marie Laure Nivet , Aurélia Balu

Urban areas are not only one of the biggest contributors to climate change, but also they are one of the most vulnerable areas with high populations who would together experience the negative impacts. In this paper, we address some of the…

Machine Learning · Computer Science 2022-07-13 Beril Sirmacek , Ricardo Vinuesa

Air contamination in urban areas has risen consistently over the past few years. Due to expanding industrialization and increasing concentration of toxic gases in the climate, the air is getting more poisonous step by step at an alarming…

Machine Learning · Computer Science 2021-05-13 Satvik Garg , Himanshu Jindal

The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality and how much pollution reduction potential can the society offer through digitalization…

Machine Learning · Computer Science 2021-03-29 Johanna Einsiedler , Yun Cheng , Franz Papst , Olga Saukh

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

Tackling air pollution is an imperative problem in South Korea, especially in urban areas, over the last few years. More specially, South Korea has joined the ranks of the world's most polluted countries alongside with other Asian capitals,…

Machine Learning · Computer Science 2018-05-11 Tien-Cuong Bui , Van-Duc Le , Sang-Kyun Cha

Air pollution is the leading environmental health hazard globally due to various sources which include factory emissions, car exhaust and cooking stoves. As a precautionary measure, air pollution forecast serves as the basis for taking…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Divyam Madaan , Radhika Dua , Prerana Mukherjee , Brejesh Lall

We investigate an method for quantifying city characteristics based on impressions of a sound environment. The quantification of the city characteristics will be beneficial to government policy planning, tourism projects, etc. In this…

Sound · Computer Science 2022-09-12 Yusuke Ono , Sunao Hara , Masanobu Abe

Efficient audio quality assessment is vital for streamlining audio codec development. Objective assessment tools have been developed over time to algorithmically predict quality ratings from subjective assessments, the gold standard for…

Audio and Speech Processing · Electrical Eng. & Systems 2024-11-28 Pablo M. Delgado , Jürgen Herre

Urban air pollution is a public health challenge in low- and middle-income countries (LMICs). However, LMICs lack adequate air quality (AQ) monitoring infrastructure. A persistent challenge has been our inability to estimate AQ accurately…