Results 121 to 130 of about 3,126 (205)

Prediction of landslide susceptibility through ANN models optimized by evolutionary algorithms. [PDF]

Sci Rep
Cifci MA, Hu X, Öney B, Misak S, Moayedi H, Dehrashid HA.   +5 more
europepmc   +1 more source

Evaluating model robustness in landslide susceptibility mapping using a unified data-consistent framework in northern Thailand. [PDF]

Sci Rep
Manopkawee P, Mankhemthong N, Tongsae M, Panna N.   +3 more
europepmc   +1 more source

GIS-based landslide susceptibility zonation using weighted overlay analysis with AHP: a case study of Malappuram district, Kerala, India. [PDF]

Sci Rep
Shanu K, Kumar PS, Rathi BS, Rangasamy G.   +3 more
europepmc   +1 more source

Relationship between landslide susceptibility and social lag in Mexico City: The case of the west periphery. [PDF]

PLoS One
Mercado Mendoza MA, Sánchez Vargas A, Mokondoko P.   +2 more
europepmc   +1 more source

Assessing future landslide susceptibility and risk escalations under changing LULC and climate conditions in the Western Ghats of Karnataka in India. [PDF]

Sci Rep
Pramanik M, Hegde A.
europepmc   +1 more source

National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach. [PDF]

Sci Rep
Khan I, Bahuguna H, Kainthola A, Ahmed R, Asgher MS.   +4 more
europepmc   +1 more source

Geographically Weighted Random Forest Considering Spatial Heterogeneity for Landslide Susceptibility Assessment: A Case Study in Yingjiang County. [PDF]

Sensors (Basel)
Qian W, Shi M, Huang C, Li H, Huang J.
europepmc   +1 more source

Research on the problem of spatial heterogeneity in row data and generalization capability for landslide susceptibility assessment using the physics-constrained U-net model. [PDF]

Sci Rep
Zhang H, Deng H.
europepmc   +1 more source

Landslide susceptibility assessment via the information value-coupled machine learning models. [PDF]

PLoS One
Wang Y, Zhang Z, Yu X, Liu C.
europepmc   +1 more source

Study on landslide susceptibility mapping with different factor screening methods and random forest models. [PDF]

PLoS One, 2023
Gu T, Li J, Wang M, Duan P, Zhang Y, Cheng L.   +5 more
europepmc   +1 more source