Abstract: Classification of human activities performed sequentially and with unconstrained durations using radar sensors has been studied in this work. A novel processing pipeline comprising a ...
Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...
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 ...
A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback