Nadeem Sarwar

A robust and reliable method for malware classification using hybrid features and gradient boosting

The most significant problem facing software security firms in the current cybersecurity system is the fact that new strains of malware keep on appearing. The achievement of successful detection of malicious software based on both static and dynamic data remains unmet despite the...

An improved SA-Net framework for multi-class skin disease diagnosis using deep learning and self-attention mechanisms

Skin diseases are among the most common global health concerns, and accurate diagnosis is complicated by the high similarity of symptoms across conditions. This paper proposes an Improved Self-Attention Network (SA-Net) for automatic multi-class skin disease diagnosis, combining...