Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
Deep learning for air pollutant concentration prediction: A review
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …
A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
[HTML][HTML] An LSTM-based aggregated model for air pollution forecasting
During the past few years, severe air-pollution problem has garnered worldwide attention
due to its effect on health and wellbeing of individuals. As a result, the analysis and …
due to its effect on health and wellbeing of individuals. As a result, the analysis and …
A novel spatiotemporal convolutional long short-term neural network for air pollution prediction
Air pollution is a serious environmental problem that has drawn worldwide attention.
Predicting air pollution in advance has great significance on people's daily health control …
Predicting air pollution in advance has great significance on people's daily health control …
Cryptocurrency forecasting with deep learning chaotic neural networks
We implement deep learning techniques to forecast the price of the three most widely traded
digital currencies ie, Bitcoin, Digital Cash and Ripple. To the best of our knowledge, this is …
digital currencies ie, Bitcoin, Digital Cash and Ripple. To the best of our knowledge, this is …
Deep learning-based PM2. 5 prediction considering the spatiotemporal correlations: A case study of Beijing, China
U Pak, J Ma, U Ryu, K Ryom, U Juhyok, K Pak… - Science of the Total …, 2020 - Elsevier
Air pollution is one of the serious environmental problems that humankind faces and also a
hot topic in Northeastern Asia. Therefore, the accurate prediction of PM2. 5 (particulate …
hot topic in Northeastern Asia. Therefore, the accurate prediction of PM2. 5 (particulate …
Federated learning in the sky: Aerial-ground air quality sensing framework with UAV swarms
Due to air quality significantly affects human health, it is becoming increasingly important to
accurately and timely predict the air quality index (AQI). To this end, this article proposes a …
accurately and timely predict the air quality index (AQI). To this end, this article proposes a …
Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques
As air pollution becomes more and more severe, air quality prediction has become an
important approach for air pollution management and prevention. In recent years, a number …
important approach for air pollution management and prevention. In recent years, a number …
Forecasting air pollution particulate matter (PM2. 5) using machine learning regression models
From the past few decades, it has been observed that the urbanization and industrialization
are expanding in the developed nations and are confronting the overwhelming air …
are expanding in the developed nations and are confronting the overwhelming air …