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, ...

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

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 ...

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 ...

This study analyzes urban issues by examining people's social media responses. The government requires public feedback to assess its performance in addressing these issues. The study employs a ...

Thus, our results are suggesting that the algorithm’s performance is statistically not significant. This suggested study method results states that it has been determined that the produced Novel CNN ...

This paper presents a framework leveraging Raspberry Pi for the detection and prevention of plant diseases, employing a Convolutional Neural Network (CNN) algorithm for image analysis. With a focus on ...

To effectively address the aforementioned issues, a fruit and vegetable recognition model based on the MSR-CNN algorithm is proposed in this paper. Additionally, an AugFPN feature pyramid is ...

Detection of human voice types in the context of choir as a learning medium using CNN and MFCC. This research aims to classify the type of human voice so that it can be divided into four labels, ...

Sign Out ADVANCED SEARCH Journals & Magazines > IEEE Access > Volume: 13 Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm Publisher: IEEE Cite This PDF ...

Accurate facial expression recognition (FER) systems are critical for many applications, including human- computer interaction, emotion analysis, and healthcare. This study uses the CK+ dataset, which ...