About
Contact & Profiles
A5054627349
Research Areas
- Video Surveillance and Tracking Methods
- Traffic Prediction and Management Techniques
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Energy Efficient Wireless Sensor Networks
- Traffic control and management
The number of vehicles is increasing every day, and hence traffic congestion, especially in intersections, becoming a major issue. This paper presents novel approach for analysis signal prediction using combination deep learning techniques.3000 images were utilized to train on CNN (Convolutional Neural Network) spatial feature extraction the Yolov5 algorithm. Then those features given GCN (Graph Convolutional as input by creating DGL graph. findings from this research provide valuable...
10.1109/asiancon58793.2023.10269944
article
EN
2023-08-25
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