IEEE

BLTOO-MFFL: Automated and Adversarially Robust Deep Learning for SAR Image Classification by Bi-Level Three-Objective Optimization and Multi-Feature Fusion Loss

Abstract: The deep learning-based synthetic aperture radar (SAR) image classification model is vulnerable to adversarial attacks. Although automated deep learning (ADL) including neural architecture ...
IEEE

A Multi-Label Image Classification Model for Liquor Packaging Defect Detection Based on Data Augmentation and Deep Learning

Abstract: Packaging defect detection in the wine industry is critical for ensuring product quality and safety. This work focuses on the task of multi-label classification of wine packaging defects, ...
Frontiers

Residual-SwishNet: a deep learning-based approach for reliable lung cancer classification

1 Department of Software Engineering, University of Engineering and Technology-Taxila, Taxila, Pakistan 2 Information Systems Department, College of Computer and Information Sciences, Imam Mohammad ...