Blar i USN Open Archive på forfatter "Tien Bui, Dieu"
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Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM
Dou, Jie; Yunus, Ali P.; Tien Bui, Dieu; Sahana, Mehebub; Chen, Chi-Wen; Zhu, Zhongfan; Wang, Weidong; Pham, Binh Thai (Peer reviewed; Journal article, 2019)Landslides are typically triggered by earthquakes or rainfall occasionally a rainfall event followed by an earthquake or vice versa. Yet, most of the works presented in the past decade have been largely focused at the ... -
Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam
Tran, Dang An; Tsujimura, Maki; Ha, Nam Thang; Nguyen, Van Tam; Binh, Doan Van; Dang, Thanh Duc; Doan, Quang-Van; Tien Bui, Dieu; Ngoc, Trieu Anh; Phu, Le Vo; Thuc, Pham Thi Bich; Pham, Tien Dat (Journal article; Peer reviewed, 2021)Groundwater salinization is considered as a major environmental problem in worldwide coastal areas, influencing ecosystems and human health. However, an accurate prediction of salinity concentration in groundwater remains ... -
First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam
Phan, Duong Cao; Trung, Ta Hoang; Truong, Van Thinh; Sasagawa, Taiga; Vu, Thuy Phuong Thi; Tien Bui, Dieu; Hayashi, Masato; Tadono, Takeo; Nasahara, Kenlo Nishida (Journal article; Peer reviewed, 2021)Extensive studies have highlighted a need for frequently consistent land cover information for interdisciplinary studies. This paper proposes a comprehensive framework for the automatic production of the first Vietnam-wide ... -
Geo-romlig analyse av overvannsavrenning fra en motorvei i nedbørsfeltet til Brusdalsvatnet i Ålesund
Baldeon Franco, Luis (Master thesis, 2023)Vi ser at klimaendringene fører til både stigende temperaturer samt tiltakende ekstrem nedbørshendelser. Dette gir grunn til bekymring i Norge, siden det øker avrenningsvolumet som ikke naturlig absorberes grunnet ... -
GIS-Based Mapping of Seismic Parameters for the Pyrenees
Amaro-Mellado, José Lázaro; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)In the present paper, three of the main seismic parameters, maximum magnitude -Mmax, b-value, and annual rate -AR, have been studied for the Pyrenees range in southwest Europe by a Geographic Information System (GIS). The ... -
Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping
Hoang, Duc Anh; Le, Hung Van; Pham, Dong Van; Hoa, Pham Viet; Tien Bui, Dieu (Peer reviewed; Journal article, 2023)This paper presents a new hybrid ensemble modeling method called BBO-DE-STreeEns for land-slide susceptibility mapping in Than Uyen district, Vietnam. The method uses subbagging and random subspacing to generate subdatasets ... -
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
Nguyen, Vu Viet; Pham, Binh Thai; Vu, Ba Thao; Prakash, Indra; Jha, Sudan; Shahabi, Himan; Shirzadi, Ataollah; Nguyen Ba, Dong; Kumar, Raghvendra; Chatterjee, Jyotir Moy; Tien Bui, Dieu (Peer reviewed; Journal article, 2019)This paper presents novel hybrid machine learning models, namely Adaptive Neuro Fuzzy Inference System optimized by Particle Swarm Optimization (PSOANFIS), Artificial Neural Networks optimized by Particle Swarm Optimization ... -
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)
Vafaei, Sasan; Soosani, Javad; Adeli, Kamran; Fadaei, Hadi; Naghavi, Hamed; Pham, Tien Dat; Tien Bui, Dieu (Journal article; Peer reviewed, 2018)The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for ... -
Kartlegging av snøbare rabber og vinterbeite i Brattefjell- Vindeggen
Hjeltnes, Arne; Bjerketvedt, Dag; Odland, Arvid; Tien Bui, Dieu; Heggenes, Jan (Skriftserien fra Høgskolen i Sørøst-Norge;17, Research report, 2018-01-11)Her gis en underveis-rapport om arbeidet med å utvikle en metode for å estimere tilgjengelige vinterbeiteressurser for villrein, i hovedsak basert på fjernanalyse (satellittbilder og ortofoto), supplert med feltregistreringer ... -
Landslide Susceptibility Assessment at Mila basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods
Merghadi, Abdelaziz; Boumezbeur, Abderrahmane; Tien Bui, Dieu (Journal article; Peer reviewed, 2018)Landslide risk prevention requires the delineation of landslide-prone areas as accurately as possible. Therefore, selecting a method or a technique that is capable of providing the highest landslide prediction capability ... -
Machine-Learning-Based Classification Approaches toward Recognizing Slope Stability Failure
Moayedi, Hossein; Tien Bui, Dieu; Kalantar, Bahareh; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In this paper, the authors investigated the applicability of combining machine-learning-based models toward slope stability assessment. To do this, several well-known machine-learning-based methods, namely multiple linear ... -
Mapping wind erosion hazard with regression-based machine learning algorithms
Gholami, Hamid; Mohammadifar, Aliakbar; Tien Bui, Dieu; Collins, Adrian L. (Peer reviewed; Journal article, 2020)Land susceptibility to wind erosion hazard in Isfahan province, Iran, was mapped by testing 16 advanced regression-based machine learning methods: Robust linear regression (RLR), Cforest, Non-convex penalized quantile ... -
Marine gravity anomaly mapping for the Gulf of Tonkin area (Vietnam) using Cryosat-2 and Saral/AltiKa satellite altimetry data
Nguyen, Van-Sang; Pham, Van-Tuyen; Nguyen Van, Lam; Andersen, Ole Baltazar; Forsberg, Rene; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)Marine gravity anomalies are essential data for determining coastal geoid, investigating tectonics and crustal structures, and offshore explorations. The objective of this study is to present a methodology for estimating ... -
Neural Computing Improvement Using Four Metaheuristic Optimizers in Bearing Capacity Analysis of Footings Settled on Two-Layer Soils
Moayedi, Hossein; Tien Bui, Dieu; Ngo, Phuong Thao (Peer reviewed; Journal article, 2019)This study outlines the applicability of four metaheuristic algorithms, namely, whale optimization algorithm (WOA), league champion optimization (LCA), moth–flame optimization (MFO), and ant colony optimization (ACO), for ... -
A New Approach Based on Balancing Composite Motion Optimization and Deep Neural Networks for Spatial Prediction of Landslides at Tropical Cyclone Areas
Tran Anh, Tuan; Pha, Phan Dong; Tam, Tran Thi; Tien Bui, Dieu (Peer reviewed; Journal article, 2023)Landslides are a significant geological hazard that annually cause extensive damage and loss of life worldwide. Therefore, it is crucial to have reliable prediction models for landslide susceptibility in order to identify ... -
A New Approach of Hybrid Bee Colony Optimized Neural Computing for Estimation of Soil Compression Coefficient for Housing Construction Project
Samui, Pijush; Hoang, Nhat-Duc; Nhu, Viet Ha; Nguyen, My-Linh; Ngo, Phuong Thao; Tien Bui, Dieu (Peer reviewed; Journal article, 2019)In the design phase of housing projects, predicting the settlement of soil layers beneath the buildings requires the estimation of the coefficient of soil compression. This study proposes a low-cost, fast, and reliable ... -
A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping
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; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)Flash flood is one of the most dangerous natural phenomena because of its high magnitudes and sudden occurrence, resulting in huge damages for people and properties. Our work aims to propose a state-of-the-art model for ... -
A New Integrated Approach Based on the Iterative Super-Resolution Algorithm and Expectation Maximization for Face Hallucination
Lakshminarayanan, K; Santhana Krishnan, R; Golden Julie, E; Robinson, Yesudhas Harold; Kumar, Raghvendra; Son, Le Hoang; Hung, Trinh Xuan; Samui, Pijush; Ngo, Phuong Thao Thi; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)This paper proposed and verified a new integrated approach based on the iterative super-resolution algorithm and expectation-maximization for face hallucination, which is a process of converting a low-resolution face image ... -
A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data
Nguyen, Viet-Nghia; Yariyan, Peyman; Amiri, Mahdis; Tran, An Dang; Pham, Tien Dat; Do, Minh Phuong; Ngo, Phuong Thao Thi; Nhu, Viet-Ha; Long, Nguyen Quoc; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)Flash floods induced by torrential rainfalls are considered one of the most dangerous natural hazards, due to their sudden occurrence and high magnitudes, which may cause huge damage to people and properties. This study ... -
A Novel Application of League Championship Optimization (LCA): Hybridizing Fuzzy Logic for Soil Compression Coefficient Analysis
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Ngo, Phuong Thao Thi (Peer reviewed; Journal article, 2020)Employing league championship optimization (LCA) technique for adjusting the membership function parameters of the adaptive neuro-fuzzy inference system (ANFIS) is the focal objective of the present study. The mentioned ...