One of the primary causes of death globally, heart disease still affects millions of people; thus, early identification is very essential for efficient treatment. To meet the need for precise, ...

This paper addresses the limitations of existing convolutional neural network (CNN) models by proposing an advanced CNN algorithm (MCNN-RS) that incorporates Leaky ReLU,Swish activation functions, ...

To address the shortcomings of classical chaotic time series in image encryption algorithms in terms of low complexity, fewer control parameters, and limited range of value domains, this paper ...

It’s looking increasingly likely that any sale of TikTok will mean US users have to download a new app. And that could mean an almost entirely different experience.

Segmentation and classification of brain tumors using Convolutional Neural Networks (CNN) is a critical advancement in medical imaging, offering precise and automated analysis of brain scans. This ...