… AI techniques, were identified and discussed. This review article shows that AI-based
techniques have triggered a resurgence of interest in air pollution forecasting and offer great …

… in terms of prediction models to the emerging optimization and … In view of AI widely used
in environmental pollutants clean-… , prediction, optimization and intelligent control of pollutant …

… air pollution forecasting tools based on ANNs, with almost 50% of the identified papers
published since 2015 alone. This can be well explained by the emerging computing technologies …

… in recent years, artificial intelligence-based forecasting … Therefore, new theories should be
concluded and clarified. This paper … review of the intelligent modeling methods for air quality …

… monitoring using the Artificial Intelligence technique (ETAPM-AIT) to improve human health.
… developed a new ETAPM-AIT method for predicting air quality using IoT and ML techniques. …

… The Discounted Ridge Regression (DRR) was applied in order to compute new weights
before the prediction; afterwards, the authors compared it to Best Model and to the Best …

… To partly address these concerns, artificial intelligence (AI) can … of input data on predicting
different air quality indexes. The … Thanks to the collection of new and larger datasets, future …

… such as Internet of Things (IoT), big data, artificial intelligence, … Some reviews emerging
technologies are available in the … pollution levels; air quality modeling to estimate and predict …

… The consequences are widespread, including increased accident rates, less reliable travel
times, additional fuel consumption, excessive air pollution, and deterioration of societal health…

… forecasting over the past decades. This paper reviews conventional models and AI-based
models in energy consumption forecasting, and discusses the models in the aspects of …