GIS-Based Mapping of Seismic Parameters for the Pyrenees by José Lázaro Amaro-Mellado, Dieu Tien Bui

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Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping by Ataollah Shirzadi, Karim Soliamani, Mahmood Habibnejhad, Ataollah Kavian, Kamran Chapi, Himan Shahabi, Wei Chen, Khabat Khosravi, Binh Thai Pham, Biswajeet Pradhan, Anuar Ahmad, Baharin Bin Ahmad, Dieu Tien Bui

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Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping by Duc Anh Hoang, Hung Van Le, Dong Van Pham, Pham Viet Hoa, Dieu Tien Bui

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A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas by Tran Xuan Truong, Viet-Ha Nhu, Doan Thi Nam Phuong, Le Thanh Nghi, Nguyen Nhu Hung, Pham Viet Hoa, Dieu Tien Bui

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A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area by Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso

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Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms by Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, Biswajeet Pradhan, Wei Chen, Khabat Khosravi, Mahdi Panahi, Baharin Bin Ahmad, Lee Saro

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A tree-based intelligence ensemble approach for spatial prediction of potential groundwater by Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, Viet Hoa Pham, Phuong Thao T. Ngo, Viet-Ha Nhu

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A New Approach Based on Balancing Composite Motion Optimization and Deep Neural Networks for Spatial Prediction of Landslides at Tropical Cyclone Areas by Tran Anh Tuan, Phan Dong Pha, Tran Thi Tam, Dieu Tien Bui

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Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks by Tien Dat Pham, Kunihiko Yoshino, Dieu Tien Bui

“…This study tested the use of machine learning techniques for the estimation of above-ground biomass (AGB) of Sonneratia caseolaris in a coastal area of Hai Phong city, Vietnam. We employed a GIS database and multi-layer perceptron neural networks (MLPNN) to build and verify an AGB model, drawing upon data from a survey of 1508 mangrove trees in 18 sampling plots and ALOS-2 PALSAR imagery. …”
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Comparison of machine learning models for gully erosion susceptibility mapping by Alireza Arabameri, Wei Chen, Marco Loche, Xia Zhao, Yang Li, Luigi Lombardo, Artemi Cerda, Biswajeet Pradhan, Dieu Tien Bui

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A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping by Viet-Ha Nhu, Phuong-Thao Thi Ngo, Tien Dat Pham, Jie Dou, Xuan Song, Nhat-Duc Hoang, Dang An Tran, Duong Phan Cao, İbrahim Berkan Aydilek, Mahdis Amiri, Romulus Costache, Pham Viet Hoa, Dieu Tien Bui

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Deep learning neural networks for spatially explicit prediction of flash flood probability by Mahdi Panahi, Abolfazl Jaafari, Ataollah Shirzadi, Himan Shahabi, Omid Rahmati, Ebrahim Omidvar, Saro Lee, Dieu Tien Bui

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Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions by Viet-Ha Nhu, Pham Viet Hoa, Laura Melgar-García, Dieu Tien Bui

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A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data by Phuong-Thao Thi Ngo, Nhat-Duc Hoang, Biswajeet Pradhan, Quang Khanh Nguyen, Xuan Truong Tran, Quang Minh Nguyen, Viet Nghia Nguyen, Pijush Samui, Dieu Tien Bui

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Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility by Paramita Roy, Subodh Chandra Pal, Alireza Arabameri, Rabin Chakrabortty, Biswajeet Pradhan, Indrajit Chowdhuri, Saro Lee, Dieu Tien Bui

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Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India by Sunil Saha, Jagabandhu Roy, Alireza Arabameri, Thomas Blaschke, Dieu Tien Bui

Subjects: “…geographical information system (gis)…”
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Utilization of Augmented Reality Technique for Sewer Condition Visualization by Lam Van Nguyen, Dieu Tien Bui, Razak Seidu

“…The results show the potential applications of the integrated framework of GIS, AR, and 3D models for sewer condition visualization. …”
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A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential by Viet-Ha Nhu, Duong Cao Phan, Pham Viet Hoa, Pham The Vinh, Dieu Tien Bui

“…A geospatial database for the study area, consisting of 733 groundwater spring locations and 12 influencing factors, was prepared in ArcGIS Pro. Then, it was used to develop and verify the TF-DNN model. …”
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Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework by Lam Van Nguyen, Hoese Michel Tornyeviadzi, Dieu Tien Bui, Razak Seidu

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Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network by Lam Van Nguyen, Dieu Tien Bui, Razak Seidu

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