IEEE

A Novel CNN-Based Approach for Accurate Binary Classification of Diabetes Using Clinical Data

Abstract: Millions of individuals worldwide suffer from a chronic metabolic disease called diabetes. Conventional diagnos-tic techniques frequently depend on expert interpretation and clinical testing ...
IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
IEEE

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...
IEEE

Remote Sensing Scene Image Classification with Swin Transformer-Based Transfer Learning

Abstract: In remote sensing classification problems, high visual similarity between scenes reduces the classification performance of traditional methods. Therefore, advanced deep neural network models ...
IEEE

Explaining Fine-Grained Image Classification Using Evolutionary Search and the Stable Diffusion Model

Abstract: Deep learning models have shown impressive performance across a range of computer vision tasks. However, their lack of transparency limits their adoption in tasks where a clear understanding ...
IEEE

A Multi-Scale Attention Architecture by Fusing Graph Convolutional Network and CNN for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification has been advanced by convolutional and graph convolutional networks (CNNs and GCNs). While CNNs excel at extracting local features, GCNs capture ...
IEEE

A CUDA-Accelerated Hybrid CNN-DNN Approach for Multi-Class Malware Detection in IoT Networks

Abstract: The Internet of Things (IoT) ecosystem has attracted widespread attention worldwide because of its profound commercial, economic, and social impact on the daily lives of human beings.