量子启发的K-最近邻居分类器用于在法医文档分析中增强打印机源识别

Saad M Darwish1, Raad A Ali2, Adel A Elzoghabi2

  • 1Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, 163 Horreya Avenue, El Shatby, P.O. Box 832, Alexandria, 21526, Egypt. saad.darwish@alexu.edu.eg.

Scientific reports
|February 3, 2025
PubMed
概括

本研究介绍了一种量子启发的K-近邻 (KNN) 方法,用于打印机取证. 量子启发的KNN (QKNN) 通过优化功能选择来提高识别文档源打印机的准确性.