Name
Title | ||
|---|---|---|
FSLM: An Intelligent Few-shot Learning Model Based on Siamese Networks for IoT Technology |
Abstract | ||
|---|---|---|
As an important application of the Internet of Things (IoT) devices, sentiment analysis has been paid more attention with the rapid development of artificial intelligence. As a widely used method in artificial intelligence applications, traditional deep learning methods need massive data for training. However, due to the limitations of hardware, IoT devices have deficiencies in processing big data... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2020.3022427 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Feature extraction,Data models,Machine learning,Training,Internet of Things,Task analysis,Analytical models | Journal | 8 |
Issue | ISSN | Citations |
12 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Yang | 1 | 2 | 1.75 |
| Ying Li | 2 | 4 | 1.40 |
| jin wang | 3 | 243 | 36.79 |
| Neal N. Xiong | 4 | 7 | 2.45 |