Search Results - "Bui, Dieu Tien"

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, Pradhan, Biswajeet, Xu, Chong, Tien Bui, Dieu

“…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…”
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Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization by Khosravi, Khabat, Panahi, Mahdi, Tien Bui, Dieu

“…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…”
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Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India by Arora, Aman, Arabameri, Alireza, Pandey, Manish, Siddiqui, Masood A., Shukla, U.K., Bui, Dieu Tien, Mishra, Varun Narayan, Bhardwaj, Anshuman

“…This study is an attempt to quantitatively test and compare novel advanced-machine learning algorithms in terms of their performance in achieving the goal of…”
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A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) by Pham, Binh Thai, Pradhan, Biswajeet, Tien Bui, Dieu, Prakash, Indra, Dholakia, M.B.

“…Landslide susceptibility assessment of Uttarakhand area of India has been done by applying five machine learning methods namely Support Vector Machines (SVM),…”
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Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan by Dou, Jie, Tien Bui, Dieu, Yunus, Ali P, Jia, Kun, Song, Xuan, Revhaug, Inge, Xia, Huan, Zhu, Zhongfan

“…This paper assesses the potentiality of certainty factor models (CF) for the best suitable causative factors extraction for landslide susceptibility mapping in…”
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Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India by Saha, Sunil, Roy, Jagabandhu, Arabameri, Alireza, Blaschke, Thomas, Tien Bui, Dieu

“…Gully erosion is a form of natural disaster and one of the land loss mechanisms causing severe problems worldwide. This study aims to delineate the areas with…”
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Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran by Arabameri, Alireza, Saha, Sunil, Roy, Jagabandhu, Chen, Wei, Blaschke, Thomas, Tien Bui, Dieu

“…This analysis aims to generate landslide susceptibility maps (LSMs) using various machine learning methods, namely random forest (RF), alternative decision…”
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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, Soosani, Javad, Adeli, Kamran, Fadaei, Hadi, Naghavi, Hamed, Pham, Tien, Tien Bui, Dieu

“…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…”
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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, Pradhan, Biswajeet, Nampak, Haleh, Bui, Quang-Thanh, Tran, Quynh-An, Nguyen, Quoc-Phi

“…•MONF is proposed for flood susceptibility modeling.•MONF has high performance on the training and validation datasets.•MONF outperforms benchmark models i.e…”
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Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping by Shirzadi, Ataollah, Soliamani, Karim, Habibnejhad, Mahmood, Kavian, Ataollah, Chapi, Kamran, Shahabi, Himan, Chen, Wei, Khosravi, Khabat, Thai Pham, Binh, Pradhan, Biswajeet, Ahmad, Anuar, Bin Ahmad, Baharin, Tien Bui, Dieu

“…The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB),…”
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Development of novel hybridized models for urban flood susceptibility mapping by Rahmati, Omid, Darabi, Hamid, Panahi, Mahdi, Kalantari, Zahra, Naghibi, Seyed Amir, Ferreira, Carla Sofia Santos, Kornejady, Aiding, Karimidastenaei, Zahra, Mohammadi, Farnoush, Stefanidis, Stefanos, Tien Bui, Dieu, Haghighi, Ali Torabi

“…Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of…”
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A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area by Pham, Binh Thai, Tien Bui, Dieu, Dholakia, M. B., Prakash, Indra, Pham, Ha Viet

“…The objective of this study is to explore and compare the least square support vector machine (LSSVM) and multiclass alternating decision tree (MADT)…”
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Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area by Nhu, Viet-Ha, Hoang, Nhat-Duc, Nguyen, Hieu, Ngo, Phuong Thao Thi, Thanh Bui, Tinh, Hoa, Pham Viet, Samui, Pijush, Tien Bui, Dieu

“…[Display omitted] •DNN was verified and assessed for shallow landslide susceptibility mapping.•Three optimization algorithms, Adam, SGD, and RMSProp, were…”
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Vulnerability of coastal communities to climate change: Thirty-year trend analysis and prospective prediction for the coastal regions of the Persian Gulf and Gulf of Oman by Mafi-Gholami, Davood, Jaafari, Abolfazl, Zenner, Eric K., Nouri Kamari, Akram, Tien Bui, Dieu

“…This study relates changes in social vulnerability of 20 counties on the northern coasts of the Persian Gulf (PG) and the Gulf of Oman (GO) over a 30-year…”
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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, Pradhan, Biswajeet, Lofman, Owe, Revhaug, Inge, Dick, Oystein B.

“…This study investigates the potential application of artificial neural networks in landslide susceptibility mapping in the Hoa Binh province of Vietnam. A…”
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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, Pradhan, Biswajeet, Lofman, Owe, Revhaug, Inge, Dick, Oystein B.

“…The main objective of this study is to evaluate and compare the results of evidential belief functions and fuzzy logic models for spatial prediction of…”
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Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms by Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Pradhan, Biswajeet, Chen, Wei, Khosravi, Khabat, Panahi, Mahdi, Bin Ahmad, Baharin, Saro, Lee

“…In this study, land subsidence susceptibility was assessed for a study area in South Korea by using four machine learning models including Bayesian Logistic…”
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Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran by Arabameri, Alireza, Roy, Jagabandhu, Saha, Sunil, Blaschke, Thomas, Ghorbanzadeh, Omid, Tien Bui, Dieu

“…Groundwater is one of the most important natural resources, as it regulates the earth’s hydrological system. The Damghan sedimentary plain area, located in the…”
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Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization by Tien Bui, Dieu, Tuan, Tran Anh, Hoang, Nhat-Duc, Thanh, Nguyen Quoc, Nguyen, Duy Ba, Van Liem, Ngo, Pradhan, Biswajeet

“…The main objective of this study is to produce a landslide susceptibility map for the Lao Cai area (Vietnam) using a new hybrid intelligent method based on…”
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Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete by Tien Bui, Dieu, Abdullahi, Mu’azu Mohammed, Ghareh, Soheil, Moayedi, Hossein, Nguyen, Hoang

“…Due to the important role of concrete in construction sector, a novel metaheuristic method, namely whale optimization algorithm (WOA), is employed for…”
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