Prophet forecasting model: a machine learning approach to predict the concentration of air pollutants (PM2.5, PM10, O3, NO2, SO2, CO) in Seoul, South Korea

Air pollution in the Asia‐Pacific Region

(2019) Crystal M. North et al.   RESPIROLOGY

How Global Warming Changes the Difficulty of Synoptic Weather Forecasting

(2019) S. Scher et al.   GEOPHYSICAL RESEARCH LETTERS

Air pollution prediction by using an artificial neural network model

(2019) Heidar Maleki et al.   Clean Technologies and Environmental Policy

Human exposure to NO2 in school and office indoor environments

(2019) Heidi Salonen et al.   ENVIRONMENT INTERNATIONAL

Ozone effects on crops and consideration in crop models

(2018) Lisa D. Emberson et al.   EUROPEAN JOURNAL OF AGRONOMY

The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław

(2018) Joanna A. Kamińska   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Forecasting air quality time series using deep learning

(2018) Brian S. Freeman et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Urban Air Pollution Monitoring System With Forecasting Models

(2016) Khaled Bashir Shaban et al.   IEEE SENSORS JOURNAL

Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

(2015) Yang Li et al.   Atmosphere

Comparing the Performance of Statistical Models for Predicting PM10 Concentrations

(2014) Arwa S. Sayegh et al.   Aerosol and Air Quality Research