IEEE

Comparative Study Between Deep Learning Techniques and Random Forest Approach for HRRP Based Radar Target Classification

Abstract: Target recognition and classification are challenging problems in radars. Radars can generate variety of measurements depending on the capabilities of specific radars. Out of the various ...
IEEE

AE-CNN Ensemble: A Novel Architecture for Effective Network Intrusion Detection and Classification

Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
IEEE

Hierarchical Byte-Level Modeling via CNN and Mamba for Encrypted Traffic Classification

Abstract: Encrypted traffic classification, which aims to identify application-layer semantics without decrypting packet pay-loads, has emerged as a pivotal challenge in modern network intelligence ...
IEEE

Hybrid CNN-ViT Model for Intracranial Hemorrhage Detection and Classification in DICOM Images

Abstract: Intracranial hemorrhage (ICH) refers to bleeding within the brain, a global concern that underscores the im-portance of early detection. ICH is typically detected using computed tomography ...