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 of computational modeling in wastewater treatment processes
Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …
energy efficiency, meeting more restricted water quality standards, and resource recovery …
Air-pollution prediction in smart city, deep learning approach
Over the past few decades, due to human activities, industrialization, and urbanization, air
pollution has become a life-threatening factor in many countries around the world. Among …
pollution has become a life-threatening factor in many countries around the world. Among …
A hybrid spatiotemporal deep model based on CNN and LSTM for air pollution prediction
S Tsokov, M Lazarova, A Aleksieva-Petrova - Sustainability, 2022 - mdpi.com
Nowadays, air pollution is an important problem with negative impacts on human health and
on the environment. The air pollution forecast can provide important information to all …
on the environment. The air pollution forecast can provide important information to all …
Developing a spatiotemporal model to forecast land surface temperature: A way forward for better town planning
The change in the local climate is attributed primarily to rapid urbanization, and this change
has a strong influence on the adjacent areas. Lahore is one of the fast-growing metropolises …
has a strong influence on the adjacent areas. Lahore is one of the fast-growing metropolises …
Short-term forecasting using a unique ensemble technique for proactive environmental management initiatives
Particulate matter with a diameter of 2.5 microns or less (PM 2.5) is a significant type of air
pollution that affects human health due to its ability to persist in the atmosphere and …
pollution that affects human health due to its ability to persist in the atmosphere and …
Identification of Factors Determining Household PM2.5 Variations at Regional Scale and Their Implications for Pollution Mitigation
Indoor PM2. 5, particulate matter no more than 2.5 μm in aerodynamic equivalent diameter,
has very high spatiotemporal variabilities; and exploring the key factors influencing the …
has very high spatiotemporal variabilities; and exploring the key factors influencing the …
Advancing air quality forecasting in Abu Dhabi, UAE using time series models
MS Ramadan, A Abuelgasim… - Frontiers in Environmental …, 2024 - frontiersin.org
This research enhances air quality predictions in Abu Dhabi by employing Autoregressive
Integrated Moving Average (ARIMA) models on comprehensive air quality data collected …
Integrated Moving Average (ARIMA) models on comprehensive air quality data collected …
Leveraging world events to predict e-commerce consumer demand under anomaly
Consumer demand forecasting is of high importance for many e-commerce applications,
including supply chain optimization, advertisement placement, and delivery speed …
including supply chain optimization, advertisement placement, and delivery speed …
A novel bifold-attention-LSTM for analyzing PM2. 5 concentration-based multi-station data time series
The prolonged inhalation of poor-quality air is linked to severe respiratory issues, including
chronic bronchitis and increased fatalities from heart and lung diseases. Accurate …
chronic bronchitis and increased fatalities from heart and lung diseases. Accurate …