… This technique employs real-time traffic monitoring to … to the challenge of learning from huge
heterogeneous datasets. In a … tasks in deep learning, which is a subset of machine learning. …

… heterogeneous devices [2]. The co-existence of such a variety of services needs a versatile
network … This paper reviews deep learning-based works proposed to enhance the 5G RAN …

… because of different enabling technologies and heterogeneity of the network. Other hurdles
in … in NFV is proposed using Deep Learning [60]. It identifies the network traffic by utilizing the …

… of heterogeneous communication … network security, and coexistence network technologies.
The accepted papers highlight key challenges and propose novel ideas to tackle these issues…

… , object tracking, traffic monitoring, human machine interaction, … tion variation, shadow,
heterogeneous object shapes, variable … A number of deep learning models have been proposed …

… Finally, we outline the current challenges and issues faced … In this survey, we propose to
review the relevant DL models … as ”a huge number of heterogeneous (wireless and sometimes …

… Finally, we present the future research trends and challenges … also be a challenge due to
the heterogeneous nature of IoT … Building on this, we propose methodologies that can extend …

… scene perception problems, … deep learning and self-driving cars through a comprehensive
survey. We begin with an introduction to self-driving cars, deep learning, and computer vision …

… A deep learning-based CoT model has been implemented to identify the traffic in a
heterogeneous network [… proposed that may ameliorate some present challenges of load …

… “Internet” using heterogeneous technologies and communication protocols. To maintain
sustainable and secure cyberspace, advanced security controls … We propose a comparative and …