CGVQM is a full-reference video quality metric that predicts perceptual differences between pairs of videos. Like PSNR and SSIM, it compares a ground-truth reference to a distorted version (e.g.

ABSTRACT: A new framework for early diagnosis of prostate cancer using Diffusion-Weighted Imaging (DWI) is proposed. The proposed diagnostic approach consists of the following four steps to detect ...

Abstract: Sample alignment is recognized as a vital component of vertical federated learning, which facilitates the integration of differential samples and high-quality model training. In this trend, ...

Abstract: This study investigates skill misalignment between Computer Science (CSE) and Electronics and Communication Engineering (ECE) graduates in Indian engineering education, focusing on their ...