IEEE

Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov–Arnold Network

Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...
IEEE

Transfer Learning Based Multiclass Brain Tumor Classification Using Mri Data

Deep learning for classifying brain tumors has transformed medical image analysis, significantly improving upon manual detection techniques. Brain tumors are defined by aberrant cellular proliferation ...