Erratum for Vilo et al., Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium (open access)

Erratum for Vilo et al., Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium

Erratum for the article "Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium".
Date: July 31, 2014
Creator: Vilo, Claudia A.; Benedik, Michael J.; Ilori, Matthew Olusoji & Dong, Qunfeng
Object Type: Article
System: The UNT Digital Library
Automated measurement of quality of mucosa inspection for colonscopy (open access)

Automated measurement of quality of mucosa inspection for colonscopy

This paper from the International Conference on Computational Science conference proceedings presents new methods that derive a new quality metric for automated scoring of quality of mucosa inspection performed by the endoscopist.
Date: May 31, 2010
Creator: Liu, Xuemin; Tavanapong, Wallapak; Wong, Johnny; Oh, JungHwan & de Groen, Piet C.
Object Type: Paper
System: The UNT Digital Library
Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing (open access)

Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing

Article discusses how with the wider adoption of edge computing services, intelligent edge devices, and high-speed V2X communication, compute-intensive tasks for autonomous vehicles, such as object detection using camera, LiDAR, and/or radar data, can be partially offloaded to road-side edge servers. The authors aim to address the privacy problem by protecting both vehicles' sensor data and the detection results.
Date: October 31, 2022
Creator: Bai, Tianyu; Fu, Song & Yang, Qing
Object Type: Article
System: The UNT Digital Library