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

Seungmo Kang

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Accident; Analysis and Prevention|August 28, 2016
Evaluating and addressing the effects of regression to the mean phenomenon in estimating collision frequencies on urban high collision concentration locationsJinwoo Lee, Koohong Chung, Seungmo Kang
Sensors (Basel, Switzerland)|November 27, 2024
Causality-Sensitive Scheduling to Reduce Latency in Vehicle-to-Vehicle InteractionsHojeong Lee, Seungmo Kang, Hyogon Kim
Accident; Analysis and Prevention|July 17, 2012
Impact of traffic states on freeway crash involvement ratesHwasoo Yeo, Kitae Jang, Alexander Skabardonis, et al.
Sensors (Basel, Switzerland)|February 13, 2026
Enhancing V2V Communication by Parsimoniously Leveraging V2N2V Path in Connected VehiclesSongmu Heo, Yoo-Seung Song, Seungmo Kang, et al.
Accident; Analysis and Prevention|November 26, 2019
An optimal network screening method of hotspot identification for highway crashes with dynamic site lengthJinwoo Lee, Koohong Chung, Ilia Papakonstantinou, et al.
Scientific Reports|January 31, 2024
DEEPOMICS FFPE, a deep neural network model, identifies DNA sequencing artifacts from formalin fixed paraffin embedded tissue with high accuracyDong-Hyuk Heo, Inyoung Kim, Heejae Seo, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Accident; Analysis and Prevention|August 28, 2016
Evaluating and addressing the effects of regression to the mean phenomenon in estimating collision frequencies on urban high collision concentration locationsJinwoo Lee, Koohong Chung, Seungmo Kang
Sensors (Basel, Switzerland)|November 27, 2024
Causality-Sensitive Scheduling to Reduce Latency in Vehicle-to-Vehicle InteractionsHojeong Lee, Seungmo Kang, Hyogon Kim
Accident; Analysis and Prevention|July 17, 2012
Impact of traffic states on freeway crash involvement ratesHwasoo Yeo, Kitae Jang, Alexander Skabardonis, et al.
Sensors (Basel, Switzerland)|February 13, 2026
Enhancing V2V Communication by Parsimoniously Leveraging V2N2V Path in Connected VehiclesSongmu Heo, Yoo-Seung Song, Seungmo Kang, et al.
Accident; Analysis and Prevention|November 26, 2019
An optimal network screening method of hotspot identification for highway crashes with dynamic site lengthJinwoo Lee, Koohong Chung, Ilia Papakonstantinou, et al.
Scientific Reports|January 31, 2024
DEEPOMICS FFPE, a deep neural network model, identifies DNA sequencing artifacts from formalin fixed paraffin embedded tissue with high accuracyDong-Hyuk Heo, Inyoung Kim, Heejae Seo, et al.
Pageof 1