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

Cheng-Yu Ku

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

Pageof 1
Sort By:
Scientific Reports|March 11, 2023
Modeling of land subsidence using GIS-based artificial neural network in Yunlin County, TaiwanCheng-Yu Ku, Chih-Yu Liu
International Journal of Environmental Research and Public Health|February 3, 2021
A GIS-Based Artificial Neural Network Model for Flood Susceptibility AssessmentNanda Khoirunisa, Cheng-Yu Ku, Chih-Yu Liu
Scientific Reports|October 13, 2023
Reconstructing missing time-varying land subsidence data using back propagation neural network with principal component analysisChih-Yu Liu, Cheng-Yu Ku, Jia-Fu Hsu
Scientific Reports|August 22, 2025
Deep learning time-series modeling for assessing land subsidence under reduced groundwater useChih-Yu Liu, Cheng-Yu Ku, Chuen-Fa Ni
Scientific Reports|March 30, 2026
AI-enhanced soil classification with incomplete CPT data for offshore wind farmCheng-Yu Ku, Ting-Yuan Wu, Chih-Yu Liu, et al.
Scientific Reports|November 11, 2024
Evaluation of liquefaction potential in central Taiwan using random forest methodChih-Yu Liu, Cheng-Yu Ku, Yu-Jia Chiu, et al.
Pageof 1

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

Sort By:
Pageof 1
Scientific Reports|March 11, 2023
Modeling of land subsidence using GIS-based artificial neural network in Yunlin County, TaiwanCheng-Yu Ku, Chih-Yu Liu
International Journal of Environmental Research and Public Health|February 3, 2021
A GIS-Based Artificial Neural Network Model for Flood Susceptibility AssessmentNanda Khoirunisa, Cheng-Yu Ku, Chih-Yu Liu
Scientific Reports|October 13, 2023
Reconstructing missing time-varying land subsidence data using back propagation neural network with principal component analysisChih-Yu Liu, Cheng-Yu Ku, Jia-Fu Hsu
Scientific Reports|August 22, 2025
Deep learning time-series modeling for assessing land subsidence under reduced groundwater useChih-Yu Liu, Cheng-Yu Ku, Chuen-Fa Ni
Scientific Reports|March 30, 2026
AI-enhanced soil classification with incomplete CPT data for offshore wind farmCheng-Yu Ku, Ting-Yuan Wu, Chih-Yu Liu, et al.
Scientific Reports|November 11, 2024
Evaluation of liquefaction potential in central Taiwan using random forest methodChih-Yu Liu, Cheng-Yu Ku, Yu-Jia Chiu, et al.
Pageof 1