A Classification Framework for Concealed Weapon Detection Using Sub-Terahertz Images: LSTM-Based Optimized Deep Neural Network
Terahertz imaging technology is a promising method for preventing terrorist attacks due to its ability to penetrate various materials and reveal hidden objects without emitting harmful radiation. This study proposes a fast classification framework with high detection accuracy for terahertz imaging s...
Zapisane w:
| Główni autorzy: | , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2025-01-01
|
| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/11258625/ |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|