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

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...
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

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

Automated Bug Report Classification Using BERT: A Transformer-Based Approach for Efficient Bug Triage in Large-Scale Software Projects

Abstract: Efficient bug triage is a critical aspect of large-scale software development, yet it remains a labor-intensive and error-prone task. This paper presents a novel approach to automated bug ...
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

Cislunar Tracklet Association Using CNN-Based Constrained Admissible Region

Abstract: This paper proposes an approach that integrates a Convolutional Neural Network (CNN) with the Constrained Admissible Region (CAR) method to improve tracklet association in cislunar space.
IEEE

A CNN-Based Framework for Skin Disease Classification Using EfficientNetB0

Abstract: Especially with cancers like melanoma, automatic and accurate skin disease classification using dermatoscopic images can significantly enhance clinical decision-making and early management.
IEEE

OEF-LULC: An Optimized and Explainable AI-Based Framework for Land Use Land Cover Classification

Abstract: Deep learning has made significant contributions for agriculture and environmental monitoring. However, it is often viewed as “unexplainable black box”, which limits its adoption and trust.
KOAM News Now

Mississippi senator to face a prosecutor she blocked from the federal bench, CNN projects

(CNN) — Mississippi’s Senate primaries set up a general election showdown between an incumbent and a challenger she blocked from federal judgeship. CNN projected Tuesday that Republican Sen. Cindy ...