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

Hankil Kim

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
The Journal of Family Practice|October 22, 2013
Clinical Inquiry: Do asymptomatic adults need screening EKGs?John Hankil Kim, Philip Dooley, Rita Smith
Scientific Reports|December 8, 2025
Improving wind power prediction with advanced temporal and frequency domain processing combined with error correctionJinming Gao, Yixin Sun, Hankil Kim, et al.
Entropy (Basel, Switzerland)|February 27, 2026
Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind TurbinesXianlong Su, Hankil Kim, Changsu Kim, et al.
Scientific Reports|February 19, 2026
Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning frameworkXianlong Su, Jinming Gao, Kai Han, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
The Journal of Family Practice|October 22, 2013
Clinical Inquiry: Do asymptomatic adults need screening EKGs?John Hankil Kim, Philip Dooley, Rita Smith
Scientific Reports|December 8, 2025
Improving wind power prediction with advanced temporal and frequency domain processing combined with error correctionJinming Gao, Yixin Sun, Hankil Kim, et al.
Entropy (Basel, Switzerland)|February 27, 2026
Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind TurbinesXianlong Su, Hankil Kim, Changsu Kim, et al.
Scientific Reports|February 19, 2026
Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning frameworkXianlong Su, Jinming Gao, Kai Han, et al.
Pageof 1