Search Results - "Thai Pham, Binh"

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran by Bayat, Mahmoud, Ghorbanpour, Mansour, Zare, Rozita, Jaafari, Abolfazl, Thai Pham, Binh

“…•Comparing the predictive abilities of ANN and MLR for tree survival probability.•Incorporating a wide range of biotic and abiotic variables into the…”
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Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study by Pham, Binh Thai, Tien Bui, Dieu, Prakash, Indra

“…In this study, we have evaluated and compared prediction capability of Bagging Ensemble Based Alternating Decision Trees (BADT), Logistic Regression (LR), and…”
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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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GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks by Tien Bui, Dieu, Ho, Tien-Chung, Pradhan, Biswajeet, Pham, Binh-Thai, Nhu, Viet-Ha, Revhaug, Inge

“…The main objective of this study is to propose and verify a novel ensemble methodology that could improve prediction performances of landslide susceptibility…”
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Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model by Tien Bui, Duie, Khosravi, Khabat, Shahabi, Himan, Daggupati, Prasad, Adamowski, Jan F., M.Melesse, Assefa, Thai Pham, Binh, Pourghasemi, Hamid Reza, Mahmoudi, Mehrnoosh, Bahrami, Sepideh, Pradhan, Biswajeet, Shirzadi, Ataollah, Chapi, Kamran, Lee, Saro

“…Floods are some of the most dangerous and most frequent natural disasters occurring in the northern region of Iran. Flooding in this area frequently leads to…”
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Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms by Nhu, Viet-Ha, Shirzadi, Ataollah, Shahabi, Himan, Singh, Sushant K, Al-Ansari, Nadhir, Clague, John J, Jaafari, Abolfazl, Chen, Wei, Miraki, Shaghayegh, Dou, Jie, Luu, Chinh, Górski, Krzysztof, Thai Pham, Binh, Nguyen, Huu Duy, Ahmad, Baharin Bin

“…Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many…”
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Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics by Jaafari, Abolfazl, Mafi-Gholami, Davood, Thai Pham, Binh, Tien Bui, Dieu

“…Wildfires are one of the most common natural hazards worldwide. Here, we compared the capability of bivariate and multivariate models for the prediction 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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Inferring air pollution from air quality index by different geographical areas: case study in India by Sharma, Rohit, Kumar, Raghvendra, Sharma, Devendra Kumar, Son, Le Hoang, Priyadarshini, Ishaani, Pham, Binh Thai, Tien Bui, Dieu, Rai, Sakshi

“…India is one of the most polluted countries in the world, where several major cities are facing serious environmental consequences as a result of rapid…”
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Capital Investment in Tourism: A Global Investigation by Nguyen, Canh Phuc, Binh, Pham Thai, Su, Thanh Dinh

“…This study contributes to the literature by establishing the linkages between new institutional economics, public finance theory, and tourism economics, to…”
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Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques by Cai, Mingxiang, Koopialipoor, Mohammadreza, Armaghani, Danial Jahed, Thai Pham, Binh

“…Assessing the behavior of earth dams under dynamic loads is one of the most significant problems with the design of such large structures. The purpose of this…”
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GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models by Nhu, Viet-Ha, Janizadeh, Saeid, Avand, Mohammadtaghi, Chen, Wei, Farzin, Mohsen, Omidvar, Ebrahim, Shirzadi, Ataollah, Shahabi, Himan, J. Clague, John, Jaafari, Abolfazl, Mansoorypoor, Fatemeh, Thai Pham, Binh, Ahmad, Baharin Bin, Lee, Saro

“…Gully erosion destroys agricultural and domestic grazing land in many countries, especially those with arid and semi-arid climates and easily eroded rocks and…”
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Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials by Ly, Hai-Bang, Desceliers, Christophe, Minh Le, Lu, Le, Tien-Thinh, Thai Pham, Binh, Nguyen-Ngoc, Long, Doan, Van Thuan, Le, Minh

“…This study is devoted to the modeling and simulation of uncertainties in the constitutive elastic properties of material constituting a circular column under…”
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Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential by Costache, Romulus, Bao Pham, Quoc, Corodescu-Roșca, Ema, Cîmpianu, Cătălin, Hong, Haoyuan, Thi Thuy Linh, Nguyen, Ming Fai, Chow, Najah Ahmed, Ali, Vojtek, Matej, Muhammed Pandhiani, Siraj, Minea, Gabriel, Ciobotaru, Nicu, Cristian Popa, Mihnea, Diaconu, Daniel Constantin, Thai Pham, Binh

“…The aim of the present study was to explore the correlation between the land-use/land cover change and the flash-flood potential changes in Zăbala catchment…”
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Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index by Sun, Deliang, Lonbani, Mahshid, Askarian, Behnam, Jahed Armaghani, Danial, Tarinejad, Reza, Thai Pham, Binh, Huynh, Van Van

“…Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have…”
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Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations by Tang, Dongchun, Gordan, Behrouz, Koopialipoor, Mohammadreza, Jahed Armaghani, Danial, Tarinejad, Reza, Thai Pham, Binh, Huynh, Van Van

“…Seepage is one of the most challenging issues in some procedures such as design, construction, and operation of embankment or earth fill dams. The purpose of…”
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Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees by Pham, Binh Thai, Prakash, Indra, Tien Bui, Dieu

“…A hybrid machine learning approach of Random Subspace (RSS) and Classification And Regression Trees (CART) is proposed to develop a model named RSSCART for…”
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Isolation and Differentiation of Amniotic Membrane Stem Cells Into Keratinocytes by Lan, Dam Thi Phuong, Binh, Pham Thai, Giang, Nguyen Thi Quynh, Van Mao, Can, Chung, Dang Thanh, Van Diep, Nong, Trung, Do Minh, Van Tran, Pham

“…The human amniotic membrane is a highly abundant and readily available tissue that may be useful for regenerative medicine and cell therapy. The amniotic…”
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Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Ngo, Trinh Quoc, Dam, Nguyen Duc, Al-Ansari, Nadhir, Amiri, Mahdis, Phong, Tran Van, Prakash, Indra, Le, Hiep Van, Nguyen, Hanh Bich Thi, Pham, Binh Thai

“…Landslides are one of the most devastating natural hazards causing huge loss of life and damage to properties and infrastructures and adversely affecting the…”
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A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling by Pham, Binh Thai, Jaafari, Abolfazl, Prakash, Indra, Bui, Dieu Tien

“…The main aim of this study is to propose a novel hybrid intelligent model named MBSVM which is an integration of the MultiBoost ensemble and a support vector…”
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