Prediction method of environmental pollution in smart city based on neural network technology

X Jiang, P Zhang, J Huang - Sustainable Computing: Informatics and …, 2022 - Elsevier
The expansion of urban population makes urban development face huge challenges, and
the use of emerging technologies to solve urban problems has become the theme of modern …

[PDF][PDF] Comparative analysis of machine learning for predicting air quality in smart cities

K Maaloul, L Brahim - WSEAS Trandaction on Computers, 2022 - researchgate.net
Ambient air pollution is the most harmful environmental risk to health. As urban air quality
improves, health costs from air pollution-related diseases diminish. This is why air pollution …

Machine learning in the service of a clean city

E Ismail, B Ayoub, K Azeddine, O Hassan - Procedia Computer Science, 2022 - Elsevier
Clean city, green city and sustainable city are slogans describing our hope to live in areas
free of pollution. Pollution is an issue that is becoming more and more worrying to the …

Prediction of air quality in Shenzhen based on neural network algorithm

K Gu, Y Zhou, H Sun, L Zhao, S Liu - Neural Computing and Applications, 2020 - Springer
Urban air pollution is the most serious environmental pollution problem in China. It not only
causes serious losses to our economy, but also brings great hidden dangers to the physical …

Air pollution prediction model using artificial neural network and fuzzy theory

K Baatarchuluun, YS Sung, M Lee - International Journal of Internet …, 2020 - koreascience.kr
Air pollution is a problem of environmental health risk in big cities. Recently, researchers
have proposed using various artificial intelligence technologies to predict air pollution. The …

Air Quality Forecasting in DKI Jakarta Using Artificial Neural Network

AN Anggraini, NK Ummah… - … Ilmu Komputer dan …, 2022 - ejournal.uin-malang.ac.id
The increase in the use of motorized vehicles increases air pollution conditions, especially
in big cities such as the capital city of Indonesia, Jakarta. The pollution that pollutes this city …

Research on prediction of environmental aerosol and PM2. 5 based on artificial neural network

X Wang, B Wang - Neural Computing and Applications, 2019 - Springer
With the increasing severity of air pollution, PM2. 5 in aerosols, as the most important air
pollutant, has adversely affected people's normal production, life and work, and has caused …

A deep learning approach for predicting air pollution in smart cities

B Ghose, Z Rehena - … Intelligence and Machine Learning: Proceedings of …, 2021 - Springer
In recent times, air pollution has been increased in many folds due to drastic urbanization,
industrial advancement, emission from the vehicles, and unrestricted destruction of the …

[PDF][PDF] Recognition of future air quality index using artificial neural network

R Raturi, JR Prasad - … Journal of Engineering and Technology (IRJET …, 2018 - academia.edu
Due to a major increase in pollution day by day so it is required to predict pollution of the
next date, next months, next year. Using some previous air related data. Air pollution is …

Application of evolutionary neural network method in predicting pollutant levels in downtown area of Hong Kong

WZ Lu, HY Fan, SM Lo - Neurocomputing, 2003 - Elsevier
Air pollution emerges as an imminent issue in metropolitan cities like Hong Kong, and
attracts much attention in recent years. Prediction of pollutant levels and their tendency is an …