IEEE

P-TAME: Explain Any Image Classifier With Trained Perturbations

Abstract: The adoption of Deep Neural Networks (DNNs) in critical fields where predictions need to be accompanied by justifications is hindered by their inherent black-box nature. This paper ...
IEEE

Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution

Abstract: Remarkable strides have been made in super-resolution methods based on deep learning for hyperspectral images (HSIs), which are capable of enhancing the spatial resolution. However, these ...
IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
IEEE

Comparative Analysis of SVM and CNN Classifiers for EEG Signal Classification in Response to Different Auditory Stimuli

Abstract: This study aims to classify brainwave patterns using electroencephalogram (EEG) signals in response to various auditory stimuli, specifically Quran recitation, participants’ favorite music, ...
IEEE

AgentUNet:A U-shaped Hybrid Network with CNN-Transformer for Medical Image Segmentation

Abstract: An accurate and efficient medical image segmentation algorithm plays an important role when doctors diagnose diagnosis. Using deep learning methods to tackle medical image segmentation tasks ...
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 ...
KEYT

Satellite images reveal wide destruction in Gaza City as Israel steps up assault

(CNN) — In the weeks since Israel announced plans to take over Gaza City, the Israeli military has destroyed or damaged more than 1,800 buildings in and around the city, CNN analysis has found.
ABC 17 News

24 years after 9/11, previously unseen images are still emerging. This group finds and publishes them

(CNN) — The camera zooms in on the flames and black smoke pouring out of the building more than 90 stories up. Papers fly down as people on the street stare up. The cameraman says it was an explosion.
Hosted on MSN

Photoshop Tutorial: Wood Brand! How to Burn an Image into Wood

More for You FBI releases images of person of interest amid manhunt for Charlie Kirk's killer Secret Service missed Trump golf club member's loaded gun Foreign investors in agriculture say U.S.
IEEE

CNN-Enhanced Hypergraph Attention Network for Hyperspectral Image Classification

Abstract: Recently, graph neural networks (GNNs) have attracted great attention and achieved outstanding success in hyperspectral image (HSI) classification. However, most existing methods rely on ...
IEEE

Dynamic Hybrid Knowledge Distillation for Fine-Grained Aircraft Classification in Low-Resolution Remote Sensing Images

Abstract: Fine-grained aircraft classification in optical remote sensing images relies on subtle difference of local parts. However, aircrafts in low-resolution (LR) images are depicted as small ...