IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
IEEE

Multitree Genetic Programming for Multimodal Learning in Multimodal Medical Image Classification

Abstract: As medical images from multiple modalities provide complementary diagnostic information, multimodal medical image classification (MMIC) leverages their integration to enhance disease ...
CNN

‘Wicked: For Good’ revives an uncomfortable debate about bodies and images

The “Wicked” musical and its offshoot movies are meant to celebrate diversity and preach radical acceptance in the face of rising fascism. The protagonist, the witch Elphaba, is consistently misjudged ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
IEEE

Performance Assessment of Machine Learning Algorithms for Yellow Rust Wheat Disease Classification with UAV RGB Images

Abstract: This paper proposes a workflow for the detection of yellow rust winter wheat disease from RGB images captured by Unmanned Aerial Vehicles, together with a sensitivity analysis against ...
IEEE

MCAMamba: Multilevel Cross-Modal Attention-Guided State-Space Model for Multisource Remote Sensing Image Classification

Abstract: Effective fusion of multisource remote sensing data remains a fundamental challenge for Earth observation, as convolutional neural network (CNN) and transformer models suffer from limited ...
IEEE

Research on Image Classification Algorithms Based on Improved Convolutional Neural Networks

Abstract: Traditional CNNs still face challenges when dealing with complex scenes and high-dimensional data, such as low feature extraction efficiency and model overfitting. To resolve these ...