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1. Full Text Multi-hazards vulnerability assessment of southern coasts of Iran
by Mafi-Gholami, Davood and Zenner, Eric K and Jaafari, Abolfazl and Bakhtiari, Hamidreza Riahi and Tien Bui, Dieu
Journal of Environmental Management, ISSN 0301-4797, 12/2019, Volume 252, p. 109628
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2. Full Text Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques
by Tien Bui, Dieu and Moayedi, Hossein and Abdullahi, Mu'azu Mohammed and Safuan A Rashid, Ahmad and Nguyen, Hoang
Sensors (Basel, Switzerland), ISSN 1424-8220, 08/2019, Volume 19, Issue 17, p. 3678
The main goal of this study is to estimate the pullout forces by developing various modelling technique like feedforward neural network (FFNN), radial basis... 
Root-mean-square errors | Adaptive systems | Laboratories | Back propagation | Statistical methods | Genetic algorithms | Training | Reliability analysis | Modelling | Feedforward | Civil engineering | Fuzzy systems | Load | Statistical analysis | Research & development--R&D | Artificial neural networks | Permeability | Regression analysis | Gene expression | Fuzzy logic | Radial basis function | General regression neural networks | Friction | Neural networks | Plasma etching | Data sets | Machine learning | Data collection | Hybrid systems | Artificial intelligence | machine learning | belled piles | pullout behavior
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3. 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
Groundwater is one of the most valuable natural resources in the world (Jha et al., 2007). However, it is not an unlimited resource; therefore understanding... 
MULTICRITERIA DECISION | PARTICLE SWARM OPTIMIZATION | GEOSCIENCES, MULTIDISCIPLINARY | WEIGHTS-OF-EVIDENCE | GEOGRAPHICAL INFORMATION-SYSTEM | WATER RESOURCES | FLOOD SUSCEPTIBILITY ASSESSMENT | LANDSLIDE SUSCEPTIBILITY | INVASIVE WEED OPTIMIZATION | BINARY LOGISTIC-REGRESSION | HOA BINH PROVINCE | ANALYTICAL HIERARCHY PROCESS | Water, Underground | Observations | Models | Slopes | Groundwater management | Hybrids | Adaptive systems | Groundwater resources | Methodology | Groundwater potential | Heuristic methods | Roughness | Spatial discrimination | 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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4. Full Text Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
by Jaafari, Abolfazl and Panahi, Mahdi and Pham, Binh Thai and Shahabi, Himan and Bui, Dieu Tien and Rezaie, Fatemeh and Lee, Saro
Catena, ISSN 0341-8162, 04/2019, Volume 175, pp. 430 - 445
Estimation of landslide susceptibility is still an ongoing requirement for land use management plans. Here, we proposed two novel intelligence hybrid models... 
GIS | Landslide | Metaheuristic algorithm | Himalayas | Machine learning | India | NETWORK | LOGISTIC-REGRESSION | RATIO | WATER RESOURCES | MACHINE LEARNING-METHODS | FOREST | SOIL SCIENCE | PARTICLE SWARM OPTIMIZATION | GEOSCIENCES, MULTIDISCIPLINARY | DECISION TREE | MODELS | MOUNTAINS | ANFIS | Landslides | Geomorphology | Algorithms | Analysis | Biogeography | Models | Mathematical optimization
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5. Full Text Reducing the impacts of intra-class spectral variability on the accuracy of soft classification and super-resolution mapping of shoreline
by Doan, Huong T. X and Foody, Giles M and Tien Bui, Dieu
International Journal of Remote Sensing, ISSN 0143-1161, 05/2019, Volume 40, Issue 9, pp. 3384 - 3400
The main objective of this research is to assess the impact of intra-class spectral variation on the accuracy of soft classification and super-resolution... 
CONTOURING METHODS | REMOTE SENSING | REMOTELY-SENSED IMAGES | WATERLINE | MIXTURE ANALYSIS | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | MODEL | HOPFIELD NEURAL-NETWORK | ENDMEMBER VARIABILITY | PIXEL | PREDICTION | Accuracy | Classification | Landsat | Mapping | Spectra | Landsat satellites | Remote sensing | Resolution
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6. Full Text PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
by Rahmati, Omid and Kornejady, Aiding and Samadi, Mahmood and Deo, Ravinesh C and Conoscenti, Christian and Lombardo, Luigi and Dayal, Kavina and Taghizadeh-Mehrjardi, Ruhollah and Pourghasemi, Hamid Reza and Kumar, Sandeep and Bui, Dieu Tien
Science of the Total Environment, ISSN 0048-9697, 05/2019, Volume 664, pp. 296 - 311
Geospatial computation, data transformation to a relevant statistical software, and step-wise quantitative performance assessment can be cumbersome, especially... 
Validation | Predictive model evaluation framework | Spatial modelling | Performance analysis | PMT | Goodness-of-fit | ARTIFICIAL-INTELLIGENCE APPROACH | LOGISTIC-REGRESSION | PERFORMANCE | SPATIAL PREDICTION | RANDOM FOREST | SPECIES DISTRIBUTION MODELS | FIRE SUSCEPTIBILITY | ENVIRONMENTAL SCIENCES | DISCRIMINANT-ANALYSIS | LANDSLIDE SUSCEPTIBILITY | FREQUENCY RATIO
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7. Full Text Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability
by Jaafari, Abolfazl and Razavi Termeh, Seyed Vahid and Bui, Dieu Tien
Journal of Environmental Management, ISSN 0301-4797, 08/2019, Volume 243, pp. 358 - 369
In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfires are exacerbated by climate change and unplanned human... 
GIS | Climate change | Predictive modeling | Zagros ecoregion | ANFIS | Metaheuristic algorithm | CHINA | ZAGROS MOUNTAINS | PATTERNS | RISK | SPATIAL PREDICTION | SUSCEPTIBILITY ASSESSMENT | ENVIRONMENTAL SCIENCES | PARTICLE SWARM OPTIMIZATION | INFERENCE SYSTEM | MACHINE | FOREST-FIRES | Wildfires | Global temperature changes | Algorithms | Analysis | Machine learning | Models | Mathematical optimization
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8. Full Text Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
by Rahmati, Omid and Falah, Fatemeh and Dayal, Kavina Shaanu and Deo, Ravinesh C and Mohammadi, Farnoush and Biggs, Trent and Moghaddam, Davoud Davoudi and Naghibi, Seyed Amir and Bui, Dieu Tien
Science of the Total Environment, ISSN 0048-9697, 01/2020, Volume 699, p. 134230
A quantitative understanding of the hydro-environmental factors that influence the occurrence of agricultural drought events would enable more strategic... 
GIS | Spatial analysis, artificial intelligence | Drought | Australia
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9. Full Text Landslide susceptibility modelling using different advanced decision trees methods
by Thai Pham, Binh and Tien Bui, Dieu and Prakash, Indra
Civil Engineering and Environmental Systems, ISSN 1028-6608, 10/2018, Volume 35, Issue 1-4, pp. 139 - 157
In this paper, decision trees machine learning algorithms, namely Random Forest (RF), Alternating Decision Tree (ADT), and Logistic Model Tree (LMT), were... 
GIS | Landslides | logistic model tree (LMT) | machine learning | Random forest (RF) | alternating decision tree (ADT) | SUPPORT VECTOR MACHINES | RANDOM FORESTS | LOGISTIC-REGRESSION | HAZARD | CLASSIFICATION | ARTIFICIAL NEURAL-NETWORKS | ENGINEERING, CIVIL | AREA | Methodology | Rainfall | Mapping | Rivers | Statistical tests | Land use | Learning algorithms | Elevation | Specificity | Algorithms | Lithology | Machine learning | Modelling | Landslides & mudslides | Decision trees | Curvature | Distance
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10. Full Text Advances and Applications in Geospatial Technology and Earth Resources
: Proceedings of the International Conference on Geo-Spatial Technologies and Earth Resources 2017
by Tien Bui, Dieu and Ngoc Do, Anh and Bui, Hoang-Bac and Hoang, Nhat-Duc
10/2017, 1st ed. 2018, ISBN 9783319682396, 406
This book discusses the latest advances and applications in geospatial technologies and earth resources for mine surveying and civil engineering. It also... 
Congresses | Geographic information systems | Geoengineering, Foundations, Hydraulics | Earth Sciences | Hydrogeology | Geology | Geotechnical Engineering & Applied Earth Sciences | Mineral Resources | Geographical Information Systems/Cartography
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11. Full Text A hybrid GIS multi-criteria decision-making method for flood susceptibility mapping at Shangyou, China
by Wang, Yi and Hong, Haoyuan and Chen, Wei and Li, Shaojun and Pamučar, Dragan and Gigović, Ljubomir and Drobnjak, Siniša and Bui, Dieu Tien and Duan, Hexiang
Remote Sensing, ISSN 2072-4292, 01/2019, Volume 11, Issue 1, p. 62
Floods are considered one of the most disastrous hazards all over the world and cause serious casualties and property damage. Therefore, the assessment and... 
Expert knowledge | Interval rough numbers | GIS modeling | Flood susceptibility | Multi-criteria decision-making | ANP | SET | expert knowledge | HYDRODYNAMIC MODEL | DEMATEL | HAZARD | CLIMATE-CHANGE | SPATIAL PREDICTION | multi-criteria decision-making | interval rough numbers | FUZZY INFERENCE SYSTEM | IMPACT | REMOTE SENSING | flood susceptibility | COUNTY | Damage assessment | Flood control | Decision making | Property damage | Agglomeration | Mapping | Floods | Flooding | Decision analysis | Environmental management | Remote sensing | Flood damage | Multiple criterion | Spatial distribution | Disasters | Flood predictions | Flood mapping | Flood management | Casualties | Gene mapping | Geographic information systems
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12. Full Text Reliability-based structural design optimization: hybridized conjugate mean value approach
by Zhu, Shun-Peng and Keshtegar, Behrooz and Trung, Nguyen-Thoi and Yaseen, Zaher Mundher and Bui, Dieu Tien
Engineering with Computers, ISSN 0177-0667, 07/2019, pp. 1 - 14
The efficiency and robustness of reliability techniques are important in reliability-based design optimization (RBDO). Commonly, advanced mean value (AMV) is... 
Formulations | Structural design | Conjugates | Robustness (mathematics) | Efficiency | Structural reliability | Reliability analysis | Reliability engineering | Design optimization
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13. Full Text Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network
by Nguyen, Hoang and Drebenstedt, Carsten and Bui, Xuan-Nam and Bui, Dieu Tien
Natural Resources Research, ISSN 1520-7439, 2019
Open-pit mine | Hybrid model | Artificial neural network | Hierarchical k-means clustering | Ground vibration
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14. Full Text Predicting Heating and Cooling Loads in Energy-Efficient Buildings Using Two Hybrid Intelligent Models
by Tien Bui, Dieu and Moayedi, Hossein and Anastasios, Dounis and Kok Foong, Loke
Applied Sciences, ISSN 2076-3417, 08/2019, Volume 9, Issue 17, p. 3543
Today, energy conservation is more and more stressed as great amounts of energy are being consumed for varying applications. This study aimed to evaluate the... 
cooling load | heating load | energy efficient residential buildings | artificial intelligence
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15. Full Text Reliability Analysis of Slope Safety Factor by Using GPR and GP
by Samui, Pijush and Kumar, Rahul and Yadav, Uttam and Kumari, Sunita and Bui, Dieu Tien
Geotechnical and Geological Engineering, ISSN 0960-3182, 6/2019, Volume 37, Issue 3, pp. 2245 - 2254
Reliability analysis of slope is an important aspect of geotechnical engineering practice. However, it is very difficult to assess the estimation of... 
Earth Sciences | FOSM | Hydrogeology | GPR and GP | Waste Management/Waste Technology | Civil Engineering | Geotechnical Engineering & Applied Earth Sciences | Terrestrial Pollution | Slope reliability | Information science | Analysis | Safety and security measures | Analytical methods | Parameters | Statistical analysis | Methodology | Shear resistance | Reliability engineering | Reliability aspects | Probabilistic methods | Geotechnical engineering | Regression analysis | Surveying | Shearing | Genetic algorithms | Soils | Gaussian process | Covariance | Parameter uncertainty | Safety factors | Safety engineering | Reliability analysis | Reliability | Fitness
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16. Full Text Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO
by Yang, Haiqing and Hasanipanah, Mahdi and Tahir, M. M and Bui, Dieu Tien
Natural Resources Research, ISSN 1520-7439, 07/2019
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17. Full Text Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study
by Nhu, Viet-Ha and Samui, Pijush and Kumar, Deepak and Singh, Anshuman and Hoang, Nhat-Duc and Tien Bui, Dieu
Engineering with Computers, ISSN 0177-0667, 06/2019, pp. 1 - 12
Heterogeneous nature of soil consists of various chemical and physical attributes that make the prediction of soil parameters very tedious and challenging.... 
Soil chemistry | Parameter estimation | Minimax technique | Statistical analysis | Splines | Soil moisture | Feasibility studies | Principal components analysis | Soft computing | Regression analysis | Void ratio | Dry density | Model accuracy | Genetic algorithms | Organic chemistry | Moisture content | Plastic limit | Predictions | Comparative studies | Mathematical models | Fitness
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18. Full Text Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
by Hong, Haoyuan and Pradhan, Biswajeet and Xu, Chong and Tien Bui, Dieu
Catena, ISSN 0341-8162, 10/2015, Volume 133, pp. 266 - 281
Preparation of landslide susceptibility map is the first step for landslide hazard mitigation and risk assessment. The main aim of this study is to explore... 
Support vector machines | Two-class kernel logistic regression | Landslide | Alternative decision tree | China | Yihuang area | CATASTROPHIC EARTHQUAKE | WATER RESOURCES | SUSCEPTIBILITY ASSESSMENT | ANALYTICAL HIERARCHY PROCESS | ARTIFICIAL NEURAL-NETWORKS | VEGETATION RECOVERY | SOIL SCIENCE | GEOSCIENCES, MULTIDISCIPLINARY | GOLESTAN PROVINCE | FREQUENCY RATIO | STATISTICAL INDEX | HOA BINH PROVINCE | CONDITIONAL-PROBABILITY | Landslides | Data mining | Analysis | Sediment transport | Decision-making | Construction | Regression | Mathematical models | Decision trees | Logistics
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