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...

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Bibliografische Detailangaben

Hauptverfasser:	Ebru Efeoglu, Bahattin Turetken
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Concealed weapon image processing LSTM optimizers terahertz imaging
Online-Zugang:	https://ieeexplore.ieee.org/document/11258625/
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