Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE

Forecasts of cardiac and respiratory mortality in Tehran, Iran, using ARIMAX and CNN-LSTM models

(2022) Marzieh Mahmudimanesh et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model

(2022) Bing Liu et al.   Scientific Reports

Three-day forecasting of greenhouse gas CH4 in the atmosphere of the Arctic Belyy Island using discrete wavelet transform and artificial neural networks

(2021) Anna Rakhmatova et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)

(2021) K.E. ArunKumar et al.   APPLIED SOFT COMPUTING

Air pollution forecasting application based on deep learning model and optimization algorithm

(2021) Azim Heydari et al.   Clean Technologies and Environmental Policy

The Role of Primary Emission and Transboundary Transport in the Air Quality Changes During and After the COVID‐19 Lockdown in China

(2021) Hao Fan et al.   GEOPHYSICAL RESEARCH LETTERS

Air Quality in Southeast Brazil during COVID-19 Lockdown: A Combined Satellite and Ground-Based Data Analysis

(2021) Rayssa Brandao et al.   Atmosphere

Spatial Modeling of Daily PM2.5, NO2, and CO Concentrations Measured by a Low-Cost Sensor Network: Comparison of Linear, Machine Learning, and Hybrid Land Use Models

(2021) Sakshi Jain et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Ground-level NO2 concentration estimation based on OMI tropospheric NO2 and its spatiotemporal characteristics in typical regions of China

(2021) Yulei Chi et al.   ATMOSPHERIC RESEARCH

Health risk and disease burden attributable to long-term global fine-mode particles

(2021) Xingchuan Yang et al.   CHEMOSPHERE

Machine learning-based estimation of ground-level NO2 concentrations over China

(2021) Yulei Chi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimates of population exposure to atmospheric pollution and health-related externalities in a real city: The impact of spatial resolution on the accuracy of results

(2021) J.L. Santiago et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A review on the long short-term memory model

(2020) Greg Van Houdt et al.   ARTIFICIAL INTELLIGENCE REVIEW

Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-Term Regional Temperature and Precipitation

(2020) Yuchuan Lai et al.   WEATHER AND FORECASTING

Air Pollution Scenario over China during COVID-19

(2020) Janet E. Nichol et al.   Remote Sensing

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

(2020) Justin Shen et al.   PeerJ

Impact of COVID-19 lockdown upon the air quality and surface urban heat island intensity over the United Arab Emirates

(2020) Abduldaem S. Alqasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Examination of monitoring approaches for ambient air pollution: A case study for India

(2019) Michael Brauer et al.   ATMOSPHERIC ENVIRONMENT

Comparison of adaptive neuro-fuzzy inference system and recurrent neural network in vertical total electron content forecasting

(2019) Dinibel Pérez Bello et al.   NEURAL COMPUTING & APPLICATIONS

A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014–2018

(2019) Hao Fan et al.   ATMOSPHERIC ENVIRONMENT

Predicting air quality with deep learning LSTM: Towards comprehensive models

(2019) Ricardo Navares et al.   Ecological Informatics

Impact of excess NOx emissions from diesel cars on air quality, public health and eutrophication in Europe

(2017) J E Jonson et al.   Environmental Research Letters

Monthly rainfall forecast of Bangladesh using autoregressive integrated moving average method

(2016) Ishtiak Mahmud et al.   Environmental Engineering Research

A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

(2015) Jianzhou Wang et al.   ENERGY

Time series analysis and forecasting for air pollution in small urban area: an SARIMA and factor analysis approach

(2013) Snezhana Georgieva Gocheva-Ilieva et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

On evaluating stream learning algorithms

(2012) João Gama et al.   MACHINE LEARNING

ARIMA forecasting of ambient air pollutants (O3, NO, NO2 and CO)

(2009) Ujjwal Kumar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Statistical models and time series forecasting of sulfur dioxide: a case study Tehran

(2008) S. Hassanzadeh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT