Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
2020 · Earth-Science Reviews · 1,059 citations
https://doi.org/10.1016/j.earscirev.2020.103225
J
Jie Dou
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Jie Dou is an academic researcher from Shandong University of Technology. The author has contributed to research in topics: Landslides and related hazards & Flood Risk Assessment and Management & Cryospheric studies and observations. The author has an h-index of 50, co-authored 199 publications.
ORCID: 0000-0001-5930-199XPapers by this author
worksA comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
2019 · Journal of Hydrology · 697 citations
https://doi.org/10.1016/j.jhydrol.2019.03.073
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
2019 · The Science of The Total Environment · 584 citations
https://doi.org/10.1016/j.scitotenv.2019.01.221
A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning
2019 · Applied Sciences · 316 citations
https://doi.org/10.3390/app9132630
Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm
2020 · Scientific Reports · 129 citations
https://doi.org/10.1038/s41598-020-66904-y
Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan
2015 · Terrestrial Atmospheric and Oceanic Sciences · 76 citations
https://doi.org/10.3319/tao.2014.12.02.07(eosi)
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