IEEE

A Robust Hybrid CNN+ViT Framework for Breast Cancer Classification Using Mammogram Images

Abstract: Breast cancer is the most frequent type of cancer largely experienced by women currently, although it could happen to men also. It appears when abnormal breast tissue cells grow rapidly and ...
Variety

‘Pete Hegseth Has United the Media!’ Only One Outlet Has Agreed to Pentagon’s New Press Rules as Fox News, CNN and More Refuse to Comply

Pete Hegseth‘s Defense Department has threatened to revoke press credentials of news organization that do not agree to restrictive new coverage rules — and says it may bar journalists who don’t agree ...
IEEE

A Lightweight 1D-CNN Architecture for Accurate and Efficient Road Type Classification Using Vibrational Signals

Abstract: This paper addresses the challenge of road type classification using deep learning techniques applied to vibrational signals collected from inertial sensors. Two novel architectures, SepRNet ...
IEEE

Research on Image Classification Based on CNN-Transformer and ResNet Neural Network

Abstract: With the rapid development of deep learning, Convolutional Neural Network (CNN), Vision Transformer, and Residual Network (ResNet) have become commonly used and efficient technologies in ...
Hosted on MSN

Kim Jong-un Hosts Socialist Leaders to Project 'Normal State' Image

North Korean leader Kim Jong-un stated during a speech at the 80th-anniversary commemoration event for the founding of the Workers’ Party that, as a “loyal member of the socialist cause,” the ...
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 ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
IEEE

Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
IEEE

Knowledge Distillation Based on Adaptive Learning and Channel Amplification Features for PolSAR Image Classification

Abstract: The models currently used for polarimetric synthetic aperture radar (PolSAR) image classification tasks have problems, such as complex network structures, poor distinction of detailed ...
IEEE

HZSCM: Hyperspectral Image Zero-Shot Classification via Vision-Language Models

Abstract: Most hyperspectral image (HSI) classification methods assume that all classes in the test set are present during training. However, in real-world applications, acquiring labeled training ...
Business Wire

Mitsubishi Electric’s CielVision System Projects Realistic Images in Mid-air with High Brightness and High Definition

TOKYO--(BUSINESS WIRE)--Mitsubishi Electric Corporation (TOKYO: 6503) announced today its development of the CielVision aerial display system. The system projects realistic images in mid-air with high ...
IEEE

SSPNet: Spatial-Spectral Perception Network for Mineral Hyperspectral Image Classification

Abstract: Unlike general scenes, mineral hyperspectral images often exhibit similar spatial and spectral characteristics across different mines, making traditional classification methods less ...