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1. Full Text Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538
by Tien Bui, Dieu and Shahabi, Himan and Shirzadi, Ataollah and Kamran Chapi, Kamran and Hoang, Nhat-Duc and Pham, Binh and Bui, Quang-Thanh and Tran, Chuyen-Trung and Panahi, Mahdi and Bin Ahmad, Baharin and Saro, Lee
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 12/2018, Volume 11, Issue 1, p. 57
Imperialism | Landslides | Integrated approach | Evolutionary algorithms | Research & development--R&D | Machine learning | n/a
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2. Full Text Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
by Pham, Binh Thai and Tien Bui, Dieu and Prakash, Indra and Dholakia, M.B
Catena (Giessen), ISSN 0341-8162, 02/2017, Volume 149, pp. 52 - 63
Ensemble techniques | Landslides | Multilayer Perceptron Neural Network | Himalaya | India | Geosciences, Multidisciplinary | Soil Science | Physical Sciences | Life Sciences & Biomedicine | Geology | Water Resources | Agriculture | Science & Technology | Neural networks | Analysis | Machine learning | Geographic information systems | Computer science | Usage
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3. Full Text Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam
by Kinh Bac Dang and Manh Ha Nguyen and Duc Anh Nguyen and Thi Thanh Hai Phan and Tuan Linh Giang and Hoang Hai Pham and Thu Nhung Nguyen and Thi Thuy Van Tran and Dieu Tien Bui
Remote sensing (Basel, Switzerland), 10/2020, Volume 12, Issue 19, p. 3270
Technology | Remote Sensing | Science & Technology | Quang Ninh | land cover change | RAMSAR | Tien Yen estuary | U-Net | residual neural network
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4. Full Text Improving accuracy estimation of Forest Aboveground Biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning: A case study of the Hyrcanian forest area (Iran)
by Vafaei, Sasan and Soosani, Javad and Adeli, Kamran and Fadaei, Hadi and Naghavi, Hamed and Pham, Tien Dat and Bui, Dieu Tien
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 02/2018, Volume 10, Issue 2, p. 172
Hyrcanian forest | Iran | Neural networks | Gaussian processes | ALOS-2 PALSAR-2 | Support vector regression | Random forest | Sentinel-2A | Aboveground biomass | Technology | Remote Sensing | Science & Technology | Fieldwork | Root-mean-square errors | Satellite observation | Biomass | Model accuracy | Datasets | Case studies | Support vector machines | Learning algorithms | Accuracy | Gaussian process | Forest biomass | Machine learning | Radar imaging | Models | Artificial intelligence | Synthetic aperture radar | support vector regression | gaussian processes | neural networks | aboveground biomass | random forest
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5. Full Text Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS
by Tien Bui, Dieu and Pradhan, Biswajeet and Lofman, Owe and Revhaug, Inge and Dick, Oystein B
Computers & geosciences, ISSN 0098-3004, 08/2012, Volume 45, pp. 199 - 211
GIS | Vietnam | Hoa Binh province | Landslide susceptibility | Adaptive neuro-fuzzy inference system (ANFIS) | Geosciences, Multidisciplinary | Physical Sciences | Computer Science, Interdisciplinary Applications | Geology | Technology | Computer Science | Science & Technology | Landslides | Usage | Algorithms | Lithofacies | Analysis | Universities and colleges | Rivers | Data mining | Geographic information systems | Mathematical analysis | Inference | Satellite navigation systems | Mathematical models | Mapping
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6. Full Text Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks
by Tien Bui, Dieu and Pradhan, Biswajeet and Lofman, Owe and Revhaug, Inge and Dick, Oystein B
Geomorphology (Amsterdam, Netherlands), ISSN 0169-555X, 10/2012, Volume 171-172, pp. 12 - 29
GIS | Landslides | Bayesian Regularization | Hoa Binh province | Levenberg–Marquardt | Artificial neural networks | Levenberg-Marquardt | Geosciences, Multidisciplinary | Geography, Physical | Physical Sciences | Geology | Physical Geography | Science & Technology | Algorithms | Rivers | Comparative analysis | Neural networks | Training | Images | Mathematical models | Mapping | Conditioning | Bayesian analysis | Regularization
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7. Full Text Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization
by Khosravi, Khabat and Panahi, Mahdi and Tien Bui, Dieu
Hydrology and earth system sciences, ISSN 1027-5606, 09/2018, Volume 22, Issue 9, pp. 4771 - 4792
Geosciences, Multidisciplinary | Water Resources | Physical Sciences | Geology | Science & Technology | Water, Underground | Observations | Models | Slopes | Groundwater management | Hybrids | Adaptive systems | Groundwater resources | Methodology | Groundwater potential | Heuristic methods | Roughness | Mapping | Land cover | Optimization | Bees | Training | Rank tests | Locations (working) | Groundwater | Moisture content | Sustainability | Evolution | Mathematical models | Swarm intelligence | Modelling | Conditioning | Water resources | Distance | Ground water | Fuzzy systems | Natural resources | Artificial neural networks | Rainfall | Inference | Rivers | Evolutionary algorithms | Spring | Sustainable use | Land use | Fuzzy logic | Soils | Algorithms | Lithology | Wetness index | Resource management | Artificial intelligence | Curvature
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8. Full Text Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
by Tien Bui, Dieu and Pradhan, Biswajeet and Lofman, Owe and Revhaug, Inge and Dick, Oystein B
Catena (Giessen), ISSN 0341-8162, 09/2012, Volume 96, pp. 28 - 40
GIS | Fuzzy operator | Vietnam | Landslide | Evidential belief functions | Geosciences, Multidisciplinary | Soil Science | Physical Sciences | Life Sciences & Biomedicine | Geology | Water Resources | Agriculture | Science & Technology | Bgi / Prodig | Southeast Asia | Vietnam. Cambodia | Asia | Fuzzy logic | Landslides | Fuzzy algorithms | Rivers | Comparative analysis | Geographic information systems | Fuzzy systems | Training | Stockpiling | Hazards | Mathematical models | Fuzzy set theory | Fuzzy
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9. Full Text Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
by Tien Bui, Dieu and Pradhan, Biswajeet and Nampak, Haleh and Bui, Quang-Thanh and Tran, Quynh-An and Nguyen, Quoc-Phi
Journal of hydrology (Amsterdam), ISSN 0022-1694, 09/2016, Volume 540, pp. 317 - 330
GIS | Genetic evolutionary | Vietnam | Neural fuzzy | Particle Swarm Optimization | Flood susceptibility mapping | Geosciences, Multidisciplinary | Engineering | Physical Sciences | Geology | Technology | Engineering, Civil | Water Resources | Science & Technology | Models | Tropical cyclones | Floods | Artificial intelligence | Analysis | Geographic information systems | Case studies | Computer science | Storms | Disease susceptibility | Mathematical optimization | Fuzzy logic | Databases | Neural networks | Heuristic methods | Inference | Mathematical models
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