Name
Title | ||
|---|---|---|
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems. |
Abstract | ||
|---|---|---|
Currently, the network traffic control systems are mainly composed of the Internet core and wired/wireless heterogeneous backbone networks. Recently, these packet-switched systems are experiencing an explosive network traffic growth due to the rapid development of communication technologies. The existing network policies are not sophisticated enough to cope with the continually varying network con... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/COMST.2017.2707140 | IEEE Communications Surveys & Tutorials |
Keywords | Field | DocType |
Machine learning,Computer architecture,Control systems,Routing,Learning (artificial intelligence),Biological neural networks,Machine intelligence | Open research,Robot learning,Computer science,Computer network,Hyper-heuristic,Artificial intelligence,Deep learning,Intelligent Network,Network traffic control,Distributed computing,The Internet,Intelligent computer network | Journal |
Volume | Issue | Citations |
19 | 4 | 53 |
PageRank | References | Authors |
1.60 | 146 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zubair Md. Fadlullah | 1 | 756 | 45.47 |
| Fengxiao Tang | 2 | 253 | 11.24 |
| Bomin Mao | 3 | 265 | 13.95 |
| Nei Kato | 4 | 3982 | 263.66 |
| Osamu Akashi | 5 | 219 | 23.80 |
| Takeru Inoue | 6 | 176 | 19.11 |
| Kimihiro Mizutani | 7 | 135 | 10.73 |