Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IEEE

Hybrid CNN-Transformer Models in Histopathology Image Analysis: A Scoping Review

Abstract: Hybrid convolutional neural networks (CNNs) and Transformer-based architectures have demonstrated strong potential in histopathological image analysis by combining local feature extraction ...
GitHub

Ultralightweight Progressive Feature Disentanglement and Recomposition Network for Hyperspectral Image Classification

The repository for this project is the code implementation of the paper Ultralightweight Progressive Feature Disentanglement and Recomposition Network for Hyperspectral Image Classification. If you ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Yahoo

CNN Data Guru Brutally Mocks TACO Trump Flip-Flop

Add Yahoo as a preferred source to see more of our stories on Google. CNN's data guru was left stunned by President Donald Trump's abrupt cancellation of a bill signing he could have touted as a way ...
IEEE

RandomViG: Random Vision Graph Neural Network for Image Classification

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG’s ...