IEEE

Research on Hyperspectral Image Classification Based on IF-ICA and Multi-Kernel SVM

Abstract: Applying Support Vector Machine (SVM) theory to hyperspectral images classification can significantly mitigate the decline in classification performance caused by the curse of dimensionality ...
Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
IEEE

Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification

Abstract: Cross-scene classification of hyperspectral images (HSIs) aims to classify target domain (TD) data using only labeled source domain (SD) data and unlabeled TD data during training. However, ...
Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
Healio

Five-grade imaging classification system may reduce primary periphyseal stress injury

A five-grade imaging classification system and diagnostic therapeutic algorithm may reduce the risk for primary periphyseal ...