Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air
Authors
Keywords
-
Journal
Scientific Reports
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-01-19
DOI
10.1038/s41598-021-81455-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hybridized neural fuzzy ensembles for dust source modeling and prediction
- (2020) Omid Rahmati et al. ATMOSPHERIC ENVIRONMENT
- Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques
- (2020) Ali Jahani et al. LAND DEGRADATION & DEVELOPMENT
- Forest landscape visual quality evaluation using artificial intelligence techniques as a decision support system
- (2020) Ali Jahani et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Evaluating the performance of ANN in predicting the concentrations of ambient air pollutants in Nicosia
- (2020) Sedef Cakir et al. Atmospheric Pollution Research
- Aesthetic preference and mental restoration prediction in urban parks: An application of environmental modeling approach
- (2020) Ali Jahani et al. URBAN FORESTRY & URBAN GREENING
- Seed germination prediction of Salvia limbata under ecological stresses in protected areas: an artificial intelligence modeling approach
- (2020) Maryam Saffariha et al. BMC ECOLOGY
- Human Activities Impact Prediction in Vegetation Diversity of Lar National Park in Iran Using Artificial Neural Network Model
- (2020) Ali Jahani et al. Integrated Environmental Assessment and Management
- Forest landscape aesthetic quality model (FLAQM): A comparative study on landscape modelling using regression analysis and artificial neural networks
- (2019) Ali Jahani Journal of Forest Science
- A review of artificial neural network models for ambient air pollution prediction
- (2019) Sheen Mclean Cabaneros et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Prediction of mortality resulted from NO2 concentration in Tehran by Air Q+ software and artificial neural network
- (2018) M. Ebrahimi Ghadi et al. International Journal of Environmental Science and Technology
- Optimal operation of multi-reservoirs by water cycle algorithm
- (2018) Kourosh Qaderi et al. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT
- Spatial estimation of urban air pollution with the use of artificial neural network models
- (2018) A. Alimissis et al. ATMOSPHERIC ENVIRONMENT
- Role of vegetation in deposition and dispersion of air pollution in urban parks
- (2018) Yang Xing et al. ATMOSPHERIC ENVIRONMENT
- Impacts on air pollution and health by changing commuting from car to bicycle
- (2017) Christer Johansson et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Recursive neural network model for analysis and forecast of PM10 and PM2.5
- (2017) Fabio Biancofiore et al. Atmospheric Pollution Research
- Characterizing the effect of traffic density on ambient CO, NO2, and PM2.5 in Tehran, Iran: an hourly land-use regression model
- (2017) Seyed Amir Hossein Hassanpour Matikolaei et al. Transportation Letters-The International Journal of Transportation Research
- Exposure to PM10, NO2, and O3 and impacts on human health
- (2016) Yusef Omidi Khaniabadi et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Air pollution removal by trees in public green spaces in Strasbourg city, France
- (2016) Wissal Selmi et al. URBAN FORESTRY & URBAN GREENING
- Impact of nitrogen oxides on the environment and human health: Mn-based materials for the NO x abatement
- (2016) Thirupathi Boningari et al. Current Opinion in Chemical Engineering
- Review on urban vegetation and particle air pollution – Deposition and dispersion
- (2015) Sara Janhäll ATMOSPHERIC ENVIRONMENT
- A land use regression model for estimating the NO2 concentration in shanghai, China
- (2015) Xia Meng et al. ENVIRONMENTAL RESEARCH
- A novel hybrid forecasting model for PM10 and SO2 daily concentrations
- (2015) Ping Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Development of artificial intelligence based NO 2 forecasting models at Taj Mahal, Agra
- (2015) Dhirendra Mishra et al. Atmospheric Pollution Research
- Improving local air quality in cities: To tree or not to tree?
- (2012) Peter E.J. Vos et al. ENVIRONMENTAL POLLUTION
- Long-term trends of primary and secondary NO2 production in the Athens area. Variation of the NO2/NOx ratio
- (2010) I. Mavroidis et al. ATMOSPHERIC ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation