… This heterogeneous nature challenges the deployment of … of limitations and challenges that
are addressed in this article. … measurement of eight traffic monitoring sessions, then stored in …

… the three challenges faced by large-scale traffic state prediction, … unit to capture the
heterogeneity in spatial dependency. … -scale traffic state prediction problem based on deep …

… Since heterogeneous techniques have been proposed, the … typical approaches using deep
learning for object detection. … Fast R-CNN [44] is proposed to help fix the problems of both …

… Abstract—The interconnected and heterogeneous nature of … as well as a challenging
multiclass classification problem … traffic flow monitoring,” IEEE Transactions on Network and …

… However, the reliance on a centralized controller can lead to several challenges, such as …
flow analyzer. The results obtained clearly depict the superiority of the proposed deep learning …

… rely on machine learning models to perform such tasks; as such… Optimal Traffic Control:
Researchers have developed meth… been proposed to detect anomalies in individual security tasks…

… challenges to AI, modern optimization, and machine learning … proposed algorithm can solve
the traffic distribution and signal … traffic control for large-scale heterogeneous networks: A …

… to resolve IoV applications’ challenges. This paper has conducted a … related to network control
are network traffic monitoring and … data collected from heterogeneous sources of database …

… heterogeneous networks will be very popular in 6G, cell-free communication is also proposed
to solve problems … 2) Deep network TL: Through the study of the deep learning model, it …

… are also coming up with IoT technology: heterogeneity, … , various machine learning and
deep learning techniques for … research challenges, its proposed solutions, and future visions. …