Institusjon: Høgskolen i Sørøst-Norge

Prosjekttype: master, phd

Prosjektperiode: Flere prosjekter, tidligere og pågående.

Prosjektleder/veileder navn: Dieu Tien Bui: dieu.t.bui@usn.no

Formål / Sammendrag:

Prosjekter: Jordskred, bruk av modellering for økt forutsigbarhet og varsling. Bruk av ulike typer modeller for å gi økt forutsigbarhet for jordskred, blant annet knyttet til klimaendringer og økt nedbør.

Publikasjoner:

Pham, BT., Tien Bui, D., Dholakia, M.B., Prakash, I., Pham, V-H., Mehmood, K., Le, Q-H.,(2016). A Novel Ensemble Classifier of Rotation Forest and Naïve Bayer for Landslide Susceptibility Assessment at the Luc Yen District, Yen Bai Province (Viet Nam) Using GIS. Geomatics, Natural Hazards and Risk. http://link.springer.com/article/10.1007%2Fs00521-016-2666-0

Bui, K.T.T., Tien Bui, D., Zou, J., Doan, C.V., Revhaug, I., (2016). A Novel Hybrid Artificial Intelligent Approach Based on Neural Fuzzy Inference Model and Particle Swarm Optimization for Horizontal Displacement Modeling of Hydropower Dam. Neural Computing and Applications. Doi:10.1007/s00521-016-2666-0

Hong, H., Pradhan, B., Tien Bui., D; Xu, C., Youssef, A.M., Chen, W., (2016). Comparison of Four Kernel Functions Used in Support Vector Machines for Landslide Susceptibility Mapping: A Case Study at Suichuan area (China). Geomatics, Natural Hazards and Risk. Doi: 10.1080/19475705.2016.1250112

Chen, W., Wang, J., Xie, X., Hong, H., Van Trung, N., Tien Bui, D., Wang, G., & Li, X. (2016). Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions. Environmental Earth Sciences, 75 (20), 1344. http://link.springer.com/article/10.1007%2Fs12665-016-6162-8

Pham, BT., Tien Bui, D., Prakash, I., Dholakia, M.B., 2016. Hybrid Integration of Multilayer Perceptron Neural Networks and Machine Learning Ensembles for Landslide Susceptibility Assessment at Himalayan Area (India) using GIS. CATENA.      http://www.sciencedirect.com/science/article/pii/S034181621630368X

Pham, BT., Tien Bui, D., Pham, V-H., Le, Q-H., Prakash, I., Dholakia, M.B., 2016. Landslide Hazard Assessment Using Random SubSpace fuzzy rules based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai province (Viet Nam). Journal of the Indian Society of Remote Sensing. http://link.springer.com/article/10.1007/s12524-016-0620-3

Hoang, N.-D., Tien Bui, D., 2016. Predicting Earthquake-Induced Soil Liquefaction Based on a Hybridization of Kernel Fisher Discriminant Analysis and Least Squares Support Vector Machine: A Multi-Dataset Study. Bulletin of Engineering Geology and the Environment. http://link.springer.com/article/10.1007/s10064-016-0924-0

Tien Bui, D., Ho, TC., Pradhan, B., Pham, BT., Nhu, VH., Revhaug, I., 2016. GIS-Based Modeling of Rainfall-Induced Landslides Using Data Mining Based Functional Trees Classifier with AdaBoost, Bagging, and MultiBoost Ensemble Frameworks. Environmental Earth Sciences.              http://link.springer.com/article/10.1007/s12665-016-5919-4

Pham, BT., Pradhan, B., Tien Bui, D, Prakash, I., Dholakia, M.B., 2016. A Comparative Study of Different Machine Learning Methods for Landslide Susceptibility Assessment: A Case Study of Uttarakhand Area (India). Environmental Modelling and Software. DOI: 10.1016/j.envsoft.2016.07.005      http://www.sciencedirect.com/science/article/pii/S1364815216303139

Tien Bui, D., Pradhan, B., Nampak, H., Quang Bui, T., Tran, Q.-A., Nguyen, Q.P., 2016. Hybrid Artificial Intelligence Approach Based on Neural Fuzzy Inference Model and Metaheuristic Optimization for Flood Susceptibility Modelling in A High-Frequency Tropical Cyclone Area using GIS. Journal of Hydrology, 540, 317-330. http://www.sciencedirect.com/science/article/pii/S002216941630378X

Tien Bui, D., Tuan, TA., Hoang, ND., Thanh, NQ., Nguyen, BD., Liem, NV., Pradhan,B., (2016).  Spatial Prediction of Rainfall-induced Landslides for the Lao Cai area (Vietnam) Using a Novel hybrid Intelligent Approach of Least Squares Support Vector Machines Inference Model and Artificial Bee Colony Optimization.  Landslides. DOI: 10.1007/s10346-016-0711-9)  http://link.springer.com/article/10.1007/s10346-016-0711-9

Tien Bui, D., Nguyen, QP., Hoang, ND., Klempe, H., (2016).  A Novel Fuzzy K-Nearest Neighbor Inference model with Differential Evolution for Spa