scholarly journals 497 The automated and real time use of infrared thermography in the detection and correction of DFD and fevers in cattle.

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 275-275 ◽  
Author(s):  
A Schaefer ◽  
D Genho ◽  
R Clisdell ◽  
H von Gaza ◽  
G DesRoches ◽  
...  
Keyword(s):  
Real Time ◽  
Infrared Thermography ◽  
Time Use

scholarly journals The Use of Infrared Thermography as a Novel Approach for Real-Time Validation of PCR Thermocyclers

2009 ◽  
Vol 3 (2) ◽  
pp. 116-119 ◽  
Author(s):  
Hugo Ahlm Grønlund ◽  
Charlotta Löfström ◽  
Jens Bue Helleskov ◽  
Jeffrey Hoorfar
Keyword(s):  
Real Time ◽  
Infrared Thermography ◽  
Novel Approach

scholarly journals Real-Time Bot Detection from Twitter Using the Twitterbot+ Framework

2020 ◽  
Vol 26 (4) ◽  
pp. 496-507
Author(s):  
Kheir Daouadi ◽  
Rim Rebaï ◽  
Ikram Amous
Keyword(s):  
Real Time ◽  
Time Use ◽  
Detection System ◽  
Twitter Data ◽  
Benchmark Datasets ◽  
Filtering Technique ◽  
Bot Detection ◽  
Independent Features ◽  
Quality Of Research

Nowadays, bot detection from Twitter attracts the attention of several researchers around the world. Different bot detection approaches have been proposed as a result of these research efforts. Four of the main challenges faced in this context are the diversity of types of content propagated throughout Twitter, the problem inherent to the text, the lack of sufficient labeled datasets and the fact that the current bot detection approaches are not sufficient to detect bot activities accurately. We propose, Twitterbot+, a bot detection system that leveraged a minimal number of language-independent features extracted from one single tweet with temporal enrichment of a previously labeled datasets. We conducted experiments on three benchmark datasets with standard evaluation scenarios, and the achieved results demonstrate the efficiency of Twitterbot+ against the state-of-the-art. This yielded a promising accuracy results (>95%). Our proposition is suitable for accurate and real-time use in a Twitter data collection step as an initial filtering technique to improve the quality of research data.

scholarly journals Neonatal non-contact respiratory monitoring based on real-time infrared thermography

2011 ◽  
Vol 10 (1) ◽  
pp. 93 ◽  
Author(s):  
Abbas K Abbas ◽  
Konrad Heimann ◽  
Katrin Jergus ◽  
Thorsten Orlikowsky ◽  
Steffen Leonhardt
Keyword(s):  
Real Time ◽  
Infrared Thermography ◽  
Respiratory Monitoring

scholarly journals Movement Onset Detection and Target Estimation for Robot-Aided Arm Training

2015 ◽  
Vol 63 (4) ◽  
Author(s):  
Robert Riener ◽  
Domen Novak
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Time Use ◽  
Healthy Subjects ◽  
Robot Control ◽  
Contextual Information ◽  
Estimation Algorithm ◽  
Movement Onset ◽  
Joint Torques ◽  
Arm Rehabilitation

AbstractThis paper presents a motion intention estimation algorithm that is based on the recordings of joint torques, joint positions, electromyography, eye tracking and contextual information. It is intended to be used to support a virtual-reality-based robotic arm rehabilitation training. The algorithm first detects the onset of a reaching motion using joint torques and electromyography. It then predicts the motion target using a combination of eye tracking and context, and activates robotic assistance toward the target. The algorithm was first validated offline with 12 healthy subjects, then in a real-time robot control setting with 3 healthy subjects. In offline crossvalidation, onset was detected using torques and electromyography 116 ms prior to detectable changes in joint positions. Furthermore, it was possible to successfully predict a majority of motion targets, with the accuracy increasing over the course of the motion. Results were slightly worse in online validation, but nonetheless show great potential for real-time use with stroke patients.

Sign in / Sign up

Export Citation Format

Share Document