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...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2025-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11258625/ |
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