WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
IEEE

CNN Models for Analysis and Detection Ischemic Stroke Based on MRI Image

Abstract: Stroke is first in Indonesia and among the top two causes of mortality worldwide. Stroke consists of 2 types, where ischemic stroke is the most common with an incidence rate of $\mathbf{8 7 ...
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

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
IEEE

Attention-Enhanced Deep CNN Framework for Efficient Brain Tumor Classification

Abstract: Brain tumor classification plays a vital role in medical image analysis, where accurate detection is essential for early diagnosis and effective treatment planning. This paper introduces ...
IEEE

Fine-Grained Image Classification via Lightweight Multi-Scale Feature Fusion and Guided Attention

Abstract: Fine-grained image classification remains a challenging task due to subtle inter-class differences and significant intra-class similarity. To address these challenges, we propose a novel ...
IEEE

The Inverted Grayscale Images for Lightweight CNN Rotten-Fruits Classifications

Abstract: Access to healthy food plays a crucial role in ensuring national food security. One of the main challenges in healthy food production is maintaining the quality of fruits, which are ...
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

K-Means Clustered Quantization for Efficient CNN-Based Skin Lesion Classification

Abstract: Skin lesion classification is a key predictor for early skin cancer detection. But bringing deep learning models to resource-constrained environments, such as mobile or embedded systems, ...