Abstract: Image denoising involves deep learning at some level since it ties into vision and image processing. The focus here is sharpening images or enhancing their quality to optimize subsequent ...

Ultra-wide band (UWB) positioning technology has attracted increasing attention due to its high ranging accuracy. However, in indoor environments, non-line-of-sight (NLOS) signals significantly ...

This project implements an image classification system capable of recognizing 12 different human actions from photographs. The model uses transfer learning with a pre-trained MobileNetV2 architecture, ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

Real-time image classification using a pre-trained ResNet18 model. Upload and preview images directly in the browser. Modular and extensible architecture for adding new models or classes. Modern, ...

Abstract: In recent years, synthetic aperture radar (SAR) ship recognition based on deep learning has received extensive attention and research. The accuracy and reliability of the recognition model ...

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