Research on the application of deep learning based video recognition for power plant leakage and dripping
To solve the problem of “leakage and dripping” during the operation of thermal power plant equipment, a video recognition model for power plant leakage based on convolutional neural network model is proposed through the application of visual recognition technology and deep learning, and the model is...
Saved in:
| Main Authors: | Zhang Yuan, Si Yuan |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2025-02-01
|
| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000170238 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reducing leaching losses of nitrogen and phosphorus in vegetable farms using a combination of biochar amendment and drip irrigation
by: LI Shixiong, et al.
Published: (2025-02-01) -
Impact of planting density and nitrogen application on maize source-sink relationships and yield under drip irrigation
by: Linli Zhou, et al.
Published: (2025-06-01) -
Fast and Accurate Cross-PVT Full-Chip Leakage Power Estimation With Multi-Task Learning
by: Zhuomin Chai, et al.
Published: (2025-01-01) -
EDGE-BASED VIDEO RECOGNITION: ADVANCING DEEP LEARNING FOR EFFICIENT VISUAL
by: Sai Babu Veesam, et al.
Published: (2025-03-01) -
Action Recognition in Videos through a Transfer-Learning-Based Technique
by: Elizabeth López-Lozada, et al.
Published: (2024-10-01)