Can I read Deep Learning for Railway Fault Diagnosis on EtoBox?

Deep Learning for Railway Fault Diagnosis by Nazrul Haqem is a document available to read on EtoBox.

What is Deep Learning for Railway Fault Diagnosis about?

1. The document proposes a deep learning-based fault diagnosis method for current-carrying rings in catenary systems for sustainable railway transportation. 2. The method uses an improved RetinaNet model with spatial attention maps and channel weight maps to make use of local and global features for fault detection. 3. Spatial attention maps are embedded into the convolutional layers to emphasize local object features and weaken background influences. Channel weight maps are introduced to weight multi-sc

Author

Nazrul Haqem

Language

EN