Numerical Recognition Algorithm for Power Equipment Monitoring Based on Light-Resnet Convolutional Neural Network
In the smart grid, precise monitoring of the operational status of critical equipment for transmission, distribution and power supply is essential for effective online maintenance. Faced with the inefficiencies of manual recording and inspection, as well as the challenges associated with the complex...
Saved in:
| Main Authors: | Zhiheng KONG, Chong TAN, Peiyao TANG, Chengbo HU, Min ZHENG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2024-08-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202310020 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Speaker Recognition with CRET Model: a fusion of CONV2D, RESNET and ECAPA-TDNN
by: Pinyan Li, et al.
Published: (2025-02-01) -
Facial Expression Recognition using Convolutional Neural Networks with Transfer Learning Resnet-50
by: Annisa Ayu Istiqomah, et al.
Published: (2024-08-01) -
Video-Based Sign Language Recognition via ResNet and LSTM Network
by: Jiayu Huang, et al.
Published: (2024-06-01) -
Transferring Face Recognition Techniques to Entomology: An ArcFace and ResNet Approach for Improving Dragonfly Classification
by: Zhong Li, et al.
Published: (2025-07-01) -
End-to-end handwritten Ge’ez multiple numerals recognition using deep learning
by: Ruchika Malhotra, et al.
Published: (2024-12-01)