Tree Boosting Methods Comparison for Landslide Susceptibility Maps, Case Study: Kejajar, Wonosobo
Landslides in Indonesia occur almost every year and cause large material losses. Early prevention by creating a landslide susceptibility map is one way to anticipate losses due to landslides. The search for the best method for predicting landslides using machine learning with several tree boosting m...
Saved in:
Main Authors: | Arifianto, Rokhmat, Wahyunggoro, Oyas, Mustika, I. Wayan, Adimedha, Tyto Baskara |
---|---|
Format: | Conference or Workshop Item PeerReviewed |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Subjects: | |
Online Access: | https://repository.ugm.ac.id/285849/1/Tree%20Boosting%20Methods%20Comparison.pdf https://repository.ugm.ac.id/285849/ https://ieeexplore.ieee.org/document/10205882 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universitas Gadjah Mada |
Language: | English |
Similar Items
-
Landslide susceptibility zone in steep slope landscape at Gunung Kidul Regency, southeast part of Yogyakarta, Indonesia
by: Saenkang, Phoulid, et al.
Published: (2022) -
Revised Rainfall Threshold in the Indonesian Landslide Early Warning System
by: Yuniawan, Ragil Andika, et al.
Published: (2022) -
Vertical Take-Off and Landing (VTOL) System Based On Noise Parameter for Exploring of Continuous Reinforcement Learning Approach
by: Surriani, Atikah, et al.
Published: (2022) -
Noise Parameterization of Continuous Deep Reinforcement Learning for a Class of Non-linear System
by: Surriani, Atikah, et al.
Published: (2022) -
Simulation Based Motion Planning of WMR Under Local Minimum Condition Using IAPF Algorithm
by: Puriyanto, Riky Dwi, et al.
Published: (2022)