IEEE

Hybrid CNN-GCN Network for Hyperspectral Image Classification

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...
Tech Xplore on MSN

Researchers reveal bias in a widely used measure of algorithm performance

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual ...
Frontiers

Comparative performance of large language models in emotional safety classification across sizes and tasks

Understanding how large language models (LLMs) process emotionally sensitive content is critical for building safe and reliable systems, particularly in mental health contexts. We compare the ...
Scientific Research Publishing

Mahmood, T., Li, J., Pei, Y., Akhtar, F., Rehman, M.U. and Wasti, S.H. (2022) Breast Lesions Classifications of Mammographic Images Using a Deep Convolutional Neural Network ...

ABSTRACT: Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail ...
IEEE

Aspect-Level Sentiment Classification of Consumer Reviews Utilizing BERT and Category-Aware Multi-Head Attention

Abstract: In recent years, the explosive growth of user-generated review texts has underscored the academic and societal significance of sentiment analysis. Although deep learning has achieved ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...