Name
Abstract | ||
|---|---|---|
This article proposes a tree-based deep model for effective load distribution to edge devices without much loss of accuracy. The input image is divided into groups of volumes, and each volume is passed through a tree structure. The tree structure has many branches and levels, each of which is represented by a convolutional layer. The layers are independent of each other. Therefore, various edge de... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TII.2019.2950326 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Computational modeling,Convolution,Deep learning,Image edge detection,Edge computing,Task analysis,Vegetation | Computer science,Real-time computing,Edge device,Electrical engineering | Journal |
Volume | Issue | ISSN |
16 | 3 | 1551-3203 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ghulam Muhammad | 1 | 770 | 60.81 |
| M. Shamim Hossain | 2 | 1171 | 83.62 |
| abdulsalam yassine | 3 | 229 | 23.42 |