Time Series Prediction Model Based on Convolutional Neural Networks with Attention
This paper aims to explore a new method for time series prediction, namely Convolutional Neural Networks (CNN) with an attention mechanism, to capture the key features of time series.
Time Series Prediction, Convolutional Neural Network, attention mechanisms
Enhancing the application of signal light recognition for the YOLOv8 model in complex traffic scenarios
The proposed method, based on the improved YOLOv8 model combined with the GAM attention mechanism for signal light recognition, effectively enhances the accuracy and robustness of traffic light detection in complex traffic environments