Comparative analysis of machine learning techniques for predicting air quality in smart cities
Dealing with air pollution presents a major environmental challenge in smart city
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
Science communication on the public health risks of air pollution: a computational scoping review from 1958 to 2022
E Pfleger, C Adrian, R Lutz, H Drexler - Archives of Public Health, 2023 - Springer
Background Air pollutants are a health risk for the entire population. Particulate matter (PM)
including the smallest fraction, ultra-fine particles (UFP), therefore continue to be the focus of …
including the smallest fraction, ultra-fine particles (UFP), therefore continue to be the focus of …
Air quality prediction and monitoring using machine learning algorithm based iot sensor-a researcher's perspective
G Kalaivani, P Mayilvahanan - 2021 6th International …, 2021 - ieeexplore.ieee.org
Air Pollution (AP) is one of the serious and major environmental problem worldwide. Many
researchers have drawn attention and have focused about these problems keeping in mind …
researchers have drawn attention and have focused about these problems keeping in mind …
A new algorithm for time series prediction using machine learning models
Two stage grid search accepted as a promising heuristic search technique, involves a
search performed in two stages. In the first stage a search is performed in coarse grain/low …
search performed in two stages. In the first stage a search is performed in coarse grain/low …
Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities
Air pollution is now one of the world's most serious environmental problems. It represents a
significant hazard to both health and the climate. Urban air quality is steadily declining …
significant hazard to both health and the climate. Urban air quality is steadily declining …
Data driven air quality prediction based on mobile measurement
E Esatbeyoglu, A Sass, O Cassebaum… - E3S Web of …, 2019 - e3s-conferences.org
The temporal and spatial prediction of nitrogen dioxide (NO 2) is very essential because of
its harmful impacts on the environment. Its forecasting would help, for example, to regulate …
its harmful impacts on the environment. Its forecasting would help, for example, to regulate …
[图书][B] Datengetriebenes Konzept zur Luftqualitätsprädiktion
E Esatbeyoǧlu - 2021 - Springer
Datengetriebenes Konzept zur Luftqualitätsprädiktion Page 1 Enes Esatbeyoǧlu
Datengetriebenes Konzept zur Luftqualitätsprädiktion AutoUni – Schriftenreihe Page 2 …
Datengetriebenes Konzept zur Luftqualitätsprädiktion AutoUni – Schriftenreihe Page 2 …