Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

Researchers have developed an AI image generator that produces images in just four steps, rather than dozens. This could bring fast, private image generation directly to consumer devices. When you ...

Abstract: Intracranial hemorrhage (ICH) refers to bleeding within the brain, a global concern that underscores the im-portance of early detection. ICH is typically detected using computed tomography ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Abstract: This study explores the application of convolutional neural networks (CNNs) for flower image classification, focusing on 21 distinct models to evaluate their performance across 24 flower ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...