Ozone concentration forecasting based on artificial intelligence techniques: a systematic review
The prediction of tropospheric ozone concentrations is vital due to ozone's passive impacts
on atmosphere, people's health, flora and fauna. However, ozone prediction is a complex …
on atmosphere, people's health, flora and fauna. However, ozone prediction is a complex …
A comparison of machine learning methods for ozone pollution prediction
Precise and efficient ozone (O 3) concentration prediction is crucial for weather monitoring
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …
Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
E Jumin, N Zaini, AN Ahmed, S Abdullah… - Engineering …, 2020 - Taylor & Francis
High level of tropospheric ozone concentration, exceeding allowable level has been
frequently reported in Malaysia. This study proposes accurate model based on Machine …
frequently reported in Malaysia. This study proposes accurate model based on Machine …
Indoor air quality in Urban India: current status, research gap, and the way forward
Given that people spend most of their time indoors in developed nations, personal exposure
occurring in indoor spaces dominates cumulative exposure. Therefore, the total mortality …
occurring in indoor spaces dominates cumulative exposure. Therefore, the total mortality …
Multi hours ahead prediction of surface ozone gas concentration: robust artificial intelligence approach
Forecasting the Ozone concentration is a substantial process in many important
environmental issues such air pollution management, risk assessment, public health, and …
environmental issues such air pollution management, risk assessment, public health, and …
Assessment of indoor air quality in academic buildings using IoT and deep learning
Humans spend most of their lifetime indoors; thus, it is important to keep indoor air quality
within acceptable levels. As a result, many initiatives have been developed by multiple …
within acceptable levels. As a result, many initiatives have been developed by multiple …
Optimized neural network for daily-scale ozone prediction based on transfer learning
Tropospheric ozone (O 3) pollution is worsening in China, and an accurate forecast is a
prerequisite to lower the O 3 peak level. In recent years, machine learning techniques have …
prerequisite to lower the O 3 peak level. In recent years, machine learning techniques have …
Improving ozone estimation during rainy-warm seasons from the perspective of weather systems based on machine learning
Z Tong, Y Yan, S Kong, X Niu, J Ma - Science of the Total Environment, 2025 - Elsevier
Surface ozone pollution in eastern China is increasingly serious during summer, coinciding
with distinct stages of the rainy seasons in this region. This study focuses on the …
with distinct stages of the rainy seasons in this region. This study focuses on the …
Multi-source and multivariate ozone prediction based on fuzzy cognitive maps and evidential reasoning theory
X Liu, Y Zhang, J Wang, H Huang, H Yin - Applied Soft Computing, 2022 - Elsevier
Ozone prediction, a key role for ozone pollution control, is facing the following challenges,
ie, the complex evolution trend of ozone, the cross-interference phenomena between ozone …
ie, the complex evolution trend of ozone, the cross-interference phenomena between ozone …
A machine learning approach to investigate the build-up of surface ozone in Mexico-City
M Ahmad, B Rappenglück, OO Osibanjo… - Journal of Cleaner …, 2022 - Elsevier
Ground-level ozone is an important pollutant regarding air quality and climate. Mexico City
frequently experiences severe ozone episodes due to a combination of strong ozone …
frequently experiences severe ozone episodes due to a combination of strong ozone …