[HTML][HTML] Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
H Han, H Neira-Molina, A Khan, M Fang… - Journal of Cloud …, 2024 - Springer
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series
data, adept at addressing the inherent challenges posed by the data's complex, non-linear …
data, adept at addressing the inherent challenges posed by the data's complex, non-linear …
An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes
Y Suo, X Chen, J Yue, S Yang… - Journal of Marine Science …, 2024 - mdpi.com
In recent years, the artificial potential field has garnered significant attention in ship route
planning and traffic flow simulation. However, the traditional artificial potential field method …
planning and traffic flow simulation. However, the traditional artificial potential field method …
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
Enhancing the efficiency and safety of the Intelligent Transportation System requires
effective modeling and prediction of citywide traffic dynamics. Most studies employ …
effective modeling and prediction of citywide traffic dynamics. Most studies employ …
Traffic Prediction with Self-Supervised Learning: A Heterogeneity-Aware Model for Urban Traffic Flow Prediction Based on Self-Supervised Learning
M Gao, Y Wei, Y Xie, Y Zhang - Mathematics, 2024 - mdpi.com
Accurate traffic prediction is pivotal when constructing intelligent cities to enhance urban
mobility and to efficiently manage traffic flows. Traditional deep learning-based traffic …
mobility and to efficiently manage traffic flows. Traditional deep learning-based traffic …
Construction of Short-Term Traffic Flow Prediction Model Based on IoT and Deep Learning Algorithms.
X Sun, H Dou - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
On a global scale, traffic problems are an essential factor affecting urban operations,
particularly challenging the frequent occurrence of traffic congestion and accidents. The …
particularly challenging the frequent occurrence of traffic congestion and accidents. The …