A systematic literature review of deep learning neural network for time series air quality forecasting

N Zaini, LW Ean, AN Ahmed, MA Malek - Environmental Science and …, 2022 - Springer
Rapid progress of industrial development, urbanization and traffic has caused air quality
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

BP Nandi, G Singh, A Jain, DK Tayal - International Journal of …, 2024 - Springer
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 …

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 forecasting for an urban area based on deep learning and decomposition method

N Zaini, LW Ean, AN Ahmed, M Abdul Malek… - Scientific Reports, 2022 - nature.com
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 …

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 …

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 …

How gaps are created during anticipation of lane changes

K Chen, VL Knoop, P Liu, Z Li… - … B: Transport Dynamics, 2023 - Taylor & Francis
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 …

Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

R Kabir, SM Remias, J Waddell, D Zhu - Transportation Research Part D …, 2023 - Elsevier
Fuel consumption of vehicles at signalized intersections is directly impacted by congestion.
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 …

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 …