Scientific Research Publishing

Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ()

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
Nature

Learning behavior aware features across spaces for improved 3D human motion prediction

3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most ...
C&EN

Super High-Throughput Screening of Enzyme Variants by Spectral Graph Convolutional Neural Networks

Molecular Dynamics, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands ...
Nature

Fast and simple super-resolution with single images

There is a fundamental limit to the spatial resolution of optical microscopy, due to the diffraction of light. A sharp point source will appear smeared out and have the shape of the point spread ...
C&EN

High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology

University of Groningen, W. J. Kolff Institute for Biomedical Engineering and Materials Science, Department of Biomedical Engineering, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV ...
Frontiers

Identifying Epilepsy Based on Deep Learning Using DKI Images

Epilepsy is a serious hazard to human health. Minimally invasive surgery is currently an extremely effective treatment to refractory epilepsy. However, it is challenging to localize the lesion for ...
Frontiers

Deep Representation Learning for Social Network Analysis

Social network analysis is an important problem in data mining. A fundamental step for analyzing social networks is to encode network data into low-dimensional representations, i.e., network ...