Name
Title | ||
|---|---|---|
A DEFINITION AND FRAMEWORK FOR VEHICULAR KNOWLEDGE NETWORKING: An Application of Knowledge-Centric Networking |
Abstract | ||
|---|---|---|
To operate intelligent vehicular applications such as automated driving, mechanisms including machine learning (ML), artificial intelligence (AI), and others are used to abstract knowledge from information. Knowledge is defined as a state of understanding obtained through experience and analysis of collected information, and it is promising for vehicular applications. However, to achieve its full ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MVT.2021.3066376 | IEEE Vehicular Technology Magazine |
Keywords | DocType | Volume |
Knowledge engineering,Biological system modeling,Data mining,Standards,Semantics,Safety,Vehicle dynamics | Journal | 16 |
Issue | ISSN | Citations |
2 | 1556-6072 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duncan Deveaux | 1 | 3 | 2.04 |
| Takamasa Higuchi | 2 | 21 | 9.22 |
| Seyhan Ucar | 3 | 1 | 0.34 |
| Jerome Haerri | 4 | 1 | 0.34 |
| Onur Altintas | 5 | 837 | 68.68 |