Comparison of optimized data-driven models for landslide susceptibility mapping
Bibliographic Data
| ID | 15109757 |
|---|---|
| Authors | Armin Ghayur Sadigh (0000-0003-4912-0460, K.N.Toosi University of Technology), Ali Asghar Alesheikh (0000-0001-9537-9401, K.N.Toosi University of Technology), Sayed M Bateni (0000-0002-7134-0067, University of Hawaiʻi at Mānoa), Changhyun Jun (0000-0002-9767-9923, Chung-Ang University, corresponding author), Saro Lee (0000-0003-0409-8263, Korea Institute of Geoscience and Mineral Resources), Jeffrey R Nielson (0000-0002-3327-5575, Washington State University Vancouver), Mahdi Panahi (0000-0001-7601-9208, Chosun University), Fatemeh Rezaie (0000-0003-1771-6753, Korea Institute of Geoscience and Mineral Resources, corresponding author) |
| Year | 2023 |
| Volume | 26 |
| Issue | 6 |
| Pages | 14665-14692 |
| Publication date | 2023-04-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment Development and Sustainability (JOURNAL) |
| Journal identifiers | ISSN: 1387-585X • E-ISSN: 1573-2975 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10668-023-03212-1 |
| OpenAlex | W4365142703 |
| Language | EN |
| References cited | 86 |
Artificial neural network · Convolutional neural network · Data mining · Landslide · Machine learning · Mean squared error · Receiver operating characteristic · Statistics · Support vector machine · Computer Science · Fire effects on ecosystems · Flood Risk Assessment and Management · Landslides and related hazards · Mathematics · Artificial Intelligence · Geology
Deep learning in neural networks
Optuna
A Caution Regarding Rules of Thumb for Variance Inflation Factors
Deep learning
Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model
Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India
Planning road networks in landslide-prone areas
| Citation velocity | historical |
|---|---|
| Highly cited | No |