ABSTRACT: This study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member countries using continuous wavelet analysis. The main objective is ...

Abstract: In this paper, we have proposed a novel scheme for the extraction of textual areas of an image using globally matched wavelet filters. A clustering-based technique has been devised for ...

This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

With 4 million app downloads, Estonia-based startup Vocal Image aims to help people improve their voice and communication skills with AI-powered coaching. But out of its 160,000 active users, it may ...

Abstract: Remote sensing technologies are very useful due to their wide practical applications. The latest new technology, hyperspectral imaging, could be a valuable tool to study and evaluate many ...

This project enhances low-resolution images by combining interpolation with wavelet-based reconstruction. Interpolation upsamples the image, and wavelet processing restores edges and fine details, ...