Estimating urban PM2. 5 concentration: An analysis on the nonlinear effects of explanatory variables based on gradient boosted regression tree

X Hao, X Hu, T Liu, C Wang, L Wang - Urban Climate, 2022 - Elsevier
It is important for air pollution study and control to understand the relationships between the
concentrations of fine particulate matter and the influencing factors. This study builds a PM2 …

Research on a multiparameter water quality prediction method based on a hybrid model

Z Zheng, H Ding, Z Weng, L Wang - Ecological Informatics, 2023 - Elsevier
Watershed water quality monitoring is of great significance in the protection and
management of water environments. Because existing water quality prediction algorithms …

[HTML][HTML] Prediction of Multi-Site PM2.5 Concentrations in Beijing Using CNN-Bi LSTM with CBAM

D Li, J Liu, Y Zhao - Atmosphere, 2022 - mdpi.com
Air pollution is a growing problem and poses a challenge to people's healthy lives. Accurate
prediction of air pollutant concentrations is considered the key to air pollution warning and …

Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic parameters

Z Su, T Liu, X Hao, X Hu - The Journal of Supercomputing, 2023 - Springer
Timely and accurate large-scale traffic prediction has gained increasing importance for traffic
management. However, it is a challenging task due to the high nonlinearity of traffic flow and …

RSAB-ConvGRU: A hybrid deep-learning method for traffic flow prediction

D Xia, Y Chen, W Zhang, Y Hu, Y Li, H Li - Multimedia Tools and …, 2024 - Springer
Accurate and real-time traffic flow prediction is crucial in intelligent transportation systems
(ITS), and the traditional shallow prediction methods are challenging to capture the …

Research on the impact of entry points on urban arterial roads in the framework of Kerner's three-phase traffic theory

X Hu, L Qiao, X Hao, C Lin, T Liu - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Urban arterial roads, characterized by high traffic volumes and driveway densities, are prone
to congestion and accidents due to external disturbances. The disturbance from the …

A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting

H Balti, A Ben Abbes, IR Farah - Soft Computing, 2024 - Springer
Drought forecasting is crucial for minimizing the effects of drought, alerting people to its
dangers, and assisting decision-makers in taking preventative action. This article suggests …

A novel partial grey prediction model based on traffic flow wave equation and its application

H Duan, Q Zhou - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Due to the spatiotemporal, periodic, and wave characteristics of traffic flow, this paper
considers the continuous traffic flow on the road as a special kind of fluid, and uses the wave …

Research on spatio-temporal network prediction model of parallel–series traffic flow based on Transformer and GCAT

C Zhu, C Yu, J Huo - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
Traffic flow forecasting is critical in transportation research. However, the excessive
nonlinearity and complexity of spatial and temporal correlations in traffic flow critically restrict …

Attention based deep hybrid networks for traffic flow prediction using google maps data

MM Rahman, N Nower - Proceedings of the 2023 8th International …, 2023 - dl.acm.org
Accurate traffic flow prediction is a keystone for building intelligent traffic management
systems which have gained attention from researchers because of the availability of the …