Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kenneth N Brown

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Sensors (Basel, Switzerland)|August 12, 2022
Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare IndustryRadhya Sahal, Saeed H Alsamhi, Kenneth N Brown
Sensors (Basel, Switzerland)|February 27, 2020
Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity RecognitionSebastian Scheurer, Salvatore Tedesco, Kenneth N Brown, et al.
Sensors (Basel, Switzerland)|July 3, 2020
Comparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition PerformanceSebastian Scheurer, Salvatore Tedesco, Brendan O'Flynn, et al.
Computational Intelligence and Neuroscience|January 17, 2022
Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use CaseRadhya Sahal, Saeed H Alsamhi, Kenneth N Brown, et al.
Sensors (Basel, Switzerland)|May 31, 2020
Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby PlayersSalvatore Tedesco, Colum Crowe, Andrew Ryan, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|August 12, 2022
Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare IndustryRadhya Sahal, Saeed H Alsamhi, Kenneth N Brown
Sensors (Basel, Switzerland)|February 27, 2020
Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity RecognitionSebastian Scheurer, Salvatore Tedesco, Kenneth N Brown, et al.
Sensors (Basel, Switzerland)|July 3, 2020
Comparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition PerformanceSebastian Scheurer, Salvatore Tedesco, Brendan O'Flynn, et al.
Computational Intelligence and Neuroscience|January 17, 2022
Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use CaseRadhya Sahal, Saeed H Alsamhi, Kenneth N Brown, et al.
Sensors (Basel, Switzerland)|May 31, 2020
Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby PlayersSalvatore Tedesco, Colum Crowe, Andrew Ryan, et al.
Pageof 1