IEEE

Hyperspectral Image Classification Based on Normalized Grouping Fused Comprehensive Relative Position Transformer Network

Abstract: In hyperspectral image (HSI) classification, Transformer and CNN are widely used because they complement each other in extracting features. Nevertheless, existing Transformer-based methods ...
IEEE

Enhancing CNN-Based Motion Sickness Detection using EEG Signals Weighted by Motion Sickness Dose Value

Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
IEEE

Robust UAV Classification in Noisy Environments: A Digital Twin-Driven CNN Approach with ROC Analysis

Abstract: This research presents a systematic evaluation of Deep Learning (DL) models for Unmanned Aerial Vehicle (UAV) classification using Range-Doppler Maps (RDMs) under varying noise conditions. A ...
IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
IEEE

Image-Based Skin Disease Detection using Convolutional Neural Networks

Abstract: As skin diseases continue to emerge worldwide, there is a growing need for fast and accurate diagnosis. However, access to dermatologists remains limited, especially in remote and ...
IEEE

KDLight: A Lightweight Knowledge Distillation Framework for Medical Image Classification

Abstract: Conventional standalone approaches for diagnosing individual diseases often fail to achieve robust generalization because they are severely impacted by overfitting. This results in poor ...