WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
IEEE

A Dual-Branch CNN and Metadata Analysis Approach for Robust Image Tampering Detection

Abstract: Image tampering has become a widespread issue due to the availability of advanced tools such as Photoshop, GIMP, and AI-powered technologies like Generative Adversarial Networks (GANs).
IEEE

Hybrid Attention Driven CNN-Mamba Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation

Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
IEEE

Dual-Graph Knowledge Distillation Meets Multiscale CNN: A Novel Ensemble Approach for Few-Shot Hyperspectral Image Classification

Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
IEEE

An Experiment Towards the Detectability of Image Steganography Without Using Classifier

In today's digital world and practice, Image steganography become multidisciplinary field that is applied in Public and Private sectors. Meanwhile, it faces many current challenges towards ...
IEEE

Prominent Image Captioning System Using CNN - RNN Approach

Abstract: Image captioning requires a combination of computer vision and natural language processing. The objective is to [Grab your reader's attention with a great quote from the document or use this ...
IEEE

A Binary Sentiment Classifier for Reviews Based on the CNN-BiGRU-Attention Model

Abstract: Movie reviews serve as a crucial component in evaluating the viewing experience and quality of a film. In today's era of rapid internet development and widespread adoption, the swift ...
IEEE

AETNet: A lightweight CNN-Transformer hybrid architecture for the diagnosis of eight ophthalmic diseases from fundus images

Abstract: The automated detection of ophthalmic diseases from analyzing fundus imagery is essential for timely diagnostic processes and intervention to prevent vision loss. To address the challenges ...
IEEE

Underwater Marine Debris Detection: A Lightweight CNN-Based Binary Classifier

Abstract: Marine debris poses a significant threat to aquatic ecosystems, with underwater garbage detection emerging as a critical challenge for environmental protection. This paper presents a ...
IEEE

MoViM: A Hybrid CNN Vision Mamba Network for Lightweight Semantic Segmentation of Multimodal Remote Sensing Images

Abstract: The “others” category in multimodal remote sensing images is characterized by high intraclass variability. Therefore, the existing lightweight semantic segmentation models struggle with this ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...