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 ...
IEEE

Hybrid CNN Architecture based on EfficientNet and Fine-Tuned Layers for Multi-Class Skin Lesion Classification

Abstract: Early and accurate diagnosis of skin diseases is critical to successful treatment and improvement of patient outcome. However, correct diagnosis, with the help of dermoscopic examination, is ...
IEEE

SynthraXCoreNet: An Interpretable, Well-Calibrated Six-CNN Ensemble for Dermoscopic Skin-Lesion Classification

Abstract: Accurate skin lesion classification is hard because classes can look similar, datasets are imbalanced, and devices and domains vary. We introduce SynthraXCoreNet, a six CNN ensemble with ...
IEEE

Demonstration of mmWave Radar Passive Phantom Target Attack and Detection Using CNN

Abstract: Millimeter wave (mmWave) radar is widely used in both civilian and defense applications, especially in autonomous vehicles (AVs), due to its resilience in adverse weather and its capability ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
IEEE

Classification of Aerial Targets Based On Deep Learning

Abstract: In this study, the effectiveness of deep learning methods in the classification of aerial targets is investigated. By analyzing flight data parameters such as radar cross section, velocity ...
IEEE

Ensemble Deep Learning for Brain Tumor Classification Using MRI: A Comparative Study of CNN Architectures

Abstract: Early and accurate detection of brain tumors is critical for improving patient outcomes; however, it remains challenging due to the variability in tumor morphology. This study presents a ...