Feature Fusion Using Deep Learning Algorithms in Image Classification for Security Purposes by Random Weight Network

Automated threat detection in X-ray security imagery is a critical yet challenging task, where conventional deep learning models often struggle with low accuracy and overfitting. This study addresses these limitations by introducing a novel framework based on feature fusion. The proposed method extr...

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Veröffentlicht in:Applied sciences Jg. 15; H. 16; S. 9053
Hauptverfasser: Kiran, Mustafa Servet, Seyfi, Gokhan, Yilmaz, Merve, Esme, Engin, Wang, Xizhao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.08.2025
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ISSN:2076-3417, 2076-3417
Online-Zugang:Volltext
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