IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
PC Tablet

Microsoft Launches New Free AI Image Generator Here’s How to Use It

Microsoft has made its new, internally developed AI image generation model available for public use. This tool is now integrated into Microsoft Designer, the company’s graphic design application, 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 ...
CNN

Trump administration quietly canceled the nation’s largest solar project

The Trump administration’s cancellation of the largest solar project in the United States has sparked confusion and concern among Republicans and Democrats alike. Known as the Esmeralda 7, the ...
IEEE

Efficient Brain Tumor Classification Using CNN with Self-Attention Mechanisms

Abstract: Brain tumors are difficult to diagnose and can be fatal; thus, accurate and effective methods are badly needed. To overcome several difficulties in this sector, novel methods for brain tumor ...
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 ...
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

Cloud-Type Classification Using Multimodal Integration Transformer Based on Cloud Images and Millimeter-Wave Cloud Radar Observations

Abstract: The existing methods fail to simultaneously utilize the appearance information and the internal structure of clouds for cloud-type classification, resulting in incomplete cloud ...
IEEE

Concern With Center-Pixel Labeling: Center-Specific Perception Transformer Network for Hyperspectral Image Classification

Abstract: Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment ...