A systematic literature review of deep learning neural network for time series air quality forecasting
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
reduction that negatively affects human health and environmental sustainability, especially …
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
The scenario of developed and developing countries nowadays is disturbed due to modern
living style which affects environment, wildlife and natural habitat. Environmental quality has …
living style which affects environment, wildlife and natural habitat. Environmental quality has …
Prediction method of PM2. 5 concentration based on decomposition and integration
H Yang, W Wang, G Li - Measurement, 2023 - Elsevier
With the acceleration of urbanization leading to a general decrease in air quality, accurate
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …
PM2. 5 forecasting for an urban area based on deep learning and decomposition method
Rapid growth in industrialization and urbanization have resulted in high concentration of air
pollutants in the environment and thus causing severe air pollution. Excessive emission of …
pollutants in the environment and thus causing severe air pollution. Excessive emission of …
Emission analysis based on mixed traffic flow and license plate recognition model
S Wu, DJ Sun, G Qiu - Transportation Research Part D: Transport and …, 2024 - Elsevier
With the rising ownership of new energy vehicles (NEVs), accurate road traffic emission
estimations are crucial. This study combined mixed traffic flow and license plate recognition …
estimations are crucial. This study combined mixed traffic flow and license plate recognition …
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 …
How gaps are created during anticipation of lane changes
The pre-insertion process called anticipation is an essential component of a lane-changing
manoeuvre. There is little empirical research regarding the impact of anticipation. Thus, this …
manoeuvre. There is little empirical research regarding the impact of anticipation. Thus, this …
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Fuel consumption of vehicles at signalized intersections is directly impacted by congestion.
Accurately characterizing fuel consumption at signalized intersections gives additional …
Accurately characterizing fuel consumption at signalized intersections gives additional …
Estimating hourly PM2. 5 concentrations using Himawari-8 AOD and a DBSCAN-modified deep learning model over the YRDUA, China
X Lu, J Wang, Y Yan, L Zhou, W Ma - Atmospheric Pollution Research, 2021 - Elsevier
In view of the spatial and temporal gaps left by the ground monitoring network for fine
particulate matter (PM 2.5), remote sensing has been regarded as an effective monitoring …
particulate matter (PM 2.5), remote sensing has been regarded as an effective monitoring …
Data-driven approach for instantaneous vehicle emission predicting using integrated deep neural network
AM Howlader, D Patel, R Gammariello - Transportation Research Part D …, 2023 - Elsevier
This paper details how instantaneous vehicle emissions, namely, CO 2, CO, NO X, and HC
from light-duty vehicles, can be predicted using the integrated deep neural network method …
from light-duty vehicles, can be predicted using the integrated deep neural network method …