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

Hyeun Jun Moon

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

Pageof 1
Sort By:
International Journal of Environmental Research and Public Health|August 27, 2021
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical VariablesGi-Wook Cha, Hyeun-Jun Moon, Young-Chan Kim
Global Public Health|December 8, 2025
Understanding of solitary death in people living in the community: A scoping reviewChung Min Cho, Hyeun Jun Moon, Jee-Hye Yoo
Sensors (Basel, Switzerland)|January 21, 2023
Estimation of Occupancy Using IoT Sensors and a Carbon Dioxide-Based Machine Learning Model with Ventilation System and Differential Pressure DataJehyun Kim, JongIl Bang, Anseop Choi, et al.
International Journal of Environmental Research and Public Health|October 13, 2017
The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition WasteGi-Wook Cha, Young-Chan Kim, Hyeun Jun Moon, et al.
International Journal of Environmental Research and Public Health|September 29, 2020
Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSetsGi-Wook Cha, Hyeun Jun Moon, Young-Min Kim, et al.
Pageof 1

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

Sort By:
Pageof 1
International Journal of Environmental Research and Public Health|August 27, 2021
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical VariablesGi-Wook Cha, Hyeun-Jun Moon, Young-Chan Kim
Global Public Health|December 8, 2025
Understanding of solitary death in people living in the community: A scoping reviewChung Min Cho, Hyeun Jun Moon, Jee-Hye Yoo
Sensors (Basel, Switzerland)|January 21, 2023
Estimation of Occupancy Using IoT Sensors and a Carbon Dioxide-Based Machine Learning Model with Ventilation System and Differential Pressure DataJehyun Kim, JongIl Bang, Anseop Choi, et al.
International Journal of Environmental Research and Public Health|October 13, 2017
The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition WasteGi-Wook Cha, Young-Chan Kim, Hyeun Jun Moon, et al.
International Journal of Environmental Research and Public Health|September 29, 2020
Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSetsGi-Wook Cha, Hyeun Jun Moon, Young-Min Kim, et al.
Pageof 1