Abstract: Diabetic retinopathy (DR) grading is complex because it requires recognizing intra and interclass variations, handling skewed data distributions, and identifying microaneurysms. Accurate DR ...
Abstract: Transformer, an attention-based encoder–decoder model, has already revolutionized the field of natural language processing (NLP). Inspired by such significant achievements, some pioneering ...
This repository presents an image-based malware classification system developed. The proposed approach transforms malware binaries into grayscale images and applies Convolutional Neural Networks (CNNs ...
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Accurate and efficient visual inspection is therefore important for sustainable PV operation and maintenance. This study proposes an improved YOLOv8-based model for PV panel surface state detection to ...
What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...
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