IEEE

Improving GNNs for Image Classification: Addressing Homophily Challenges

Abstract: Graph Neural Networks (GNNs) are rapidly becoming essential tools in deep learning, but their effectiveness when applied to images is often limited by challenges in graph representation.
WRAL

Georgia Democrat Eric Gisler flips a state House seat in district Trump won by double digits, CNN projects

(CNN) — Democrats continued their run of successes in special elections by flipping a state House seat in Georgia Tuesday, according to a projection from the CNN Decision Desk. (CNN) — Democrats ...
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

CNN-Based Image Forgery Detection Using Sequential Deep Learning Architecture

Abstract: The wide availability of digital image editing tools and software has made it highly straightforward to tamper with or modify digital media or photographic evidence, which shows that it is ...
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

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

Hybrid CNN-LSTM Model for EEG-Based Motor Imagery Classification

Abstract: BCIs offer a direct communication channel between the external device and the brain. The study targets EEG signal-based MI classification with a hybrid model that utilizes CNN-LSTM in ...
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 ...