Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

Rice Leaf Diseases Classification Using CNN with Transfer Learning

Abstract: In the field of agriculture, plant diseases pose a serious threat to achieving optimal yields and food security; thus, identifying and classifying rice leaf diseases correctly are key points ...
IEEE

Deep Learning-Driven Image Classification of Jellyfish: A CNN Model Approach

Abstract: Rising in importance as an environmental problem, jellyfish blooms impair aquaculture infrastructure, upset marine ecosystems, and reveal human health risks. Good early reaction and ...
IEEE

TDPDA: A Triple-Classifier-Based Dynamic Selection Progressive Domain Adaptation Method for Hyperspectral Image Classification

Abstract: Cross-scene hyperspectral image classification (HSIC) is limited by domain shift and the paucity of labeled samples. Although dual-classifier domain adaptation methods have achieved good ...
IEEE

A Heterogeneous CNN with Transformers for Image Denoising

Abstract: Deep learning models often emphasize structural information over long-range dependencies when producing cleaner images. To enhance the robustness of the resulting denoisers, this work ...
IEEE

Enhancing GNSS Localization in Urban Canyons With a Hybrid CNN-Autoencoder Approach to LOS/NLOS Classification

Abstract: Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications ...
IEEE

Domain-Aware Adversarial Domain Augmentation Network for Hyperspectral Image Classification

Abstract: Classifying hyperspectral remote sensing images across different scenes has recently emerged as a significant challenge. When only historical labeled images (source domain, SD) are available ...
GitHub

Gutojeronimo/Image-Classification-for-Medical-Diagnosis

A deep learning project for classifying chest X-ray images to detect pneumonia. Built with PyTorch, featuring custom CNN and transfer learning models with Grad-CAM explainability.
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

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
IEEE

BERT-CNN: An Enhanced Hybrid Encoder Model for Text Multi-Classification

Abstract: In the face of intense volatility in the global LNG market, industry news and project reports have become critical sources for uncovering risk intelligence. However, their unstructured ...