We assume students see pictures in their minds as they learn. But not everyone can

Every day in class, students are encouraged to ‘visualise’, ‘imagine’ or ‘picture’ concepts in their minds. Some find this ...

Diffractive networks enable optical information transfer through random and unknown diffusers

The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
Purdue University

Purdue engineers test, validate novel method to improve pharmaceutical R&D

A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...

Measuring for gas: computer vision will "see" impending storms and turbulence

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.
IEEE

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
IEEE

Glycemic Index Classification in Food Images: A Deep Transfer Learning Approach

Abstract: This paper presents an innovative approach to categorize food images based on their glycemic index (GI) value using deep transfer learning. By employing pre-trained models, we aim to enable ...