Multisource Heterogeneous Data Fusion Methods Driven by Digital Twin on Basis of Prophet Algorithm
With the development of intelligent manufacturing and the wider application of the Internet of Things (IoT), it is crucial to fuse heterogeneous sensor data from multiple sources. However, the current data fusion methods still have problems, such as low accuracy of fused data, insufficient data inte...
Saved in:
| Main Author: | Min Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | IET Software |
| Online Access: | http://dx.doi.org/10.1049/sfw2/5041019 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Urban traffic flow prediction based on the multisource heterogeneous spatio-temporal data fusion
by: Yang AN, et al.
Published: (2023-07-01) -
Multisource Heterogeneous Data Fusion-Based Process Monitoring of the Reheating Furnace in Steel Production
by: Yunqi Ban, et al.
Published: (2025-03-01) -
An Ensemble Method for Soil Parameter Prediction Based on Multisource Data Fusion
by: Mingyuan Wang, et al.
Published: (2024-01-01) -
Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data
by: Lei Zhang
Published: (2022-01-01) -
Identification and grading method of HCAs in gas pipelines based on multisource data fusion
by: Haoran TANG, et al.
Published: (2024-11-01)