A Bayesian belief data mining approach applied to rice and shrimp aquaculture von Randall, Marcus, Lewis, Andrew, Stewart-Koster, Ben, Anh, Nguyen Dieu, Burford, Michelle, Condon, Jason, Van Qui, Nguyen, Huu Hiep, Le, Van Bay, Doan, Van Sang, Nguyen, Sammut, Jes

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Comparing nutrient budgets in integrated rice-shrimp ponds and shrimp grow-out ponds von Dien, Luu Duc, Hiep, Le Huu, Hao, Nguyen Van, Sammut, Jesmond, Burford, Michele Astrid

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Factors driving low oxygen conditions in integrated rice-shrimp ponds von Dien, Luu Duc, Hiep, Le Huu, Faggotter, Stephen John, Chen, Chengrong, Sammut, Jesmond, Burford, Michele Astrid

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Rice-shrimp ecosystems in the Mekong Delta: Linking water quality, shrimp and their natural food sources von Leigh, Catherine, Stewart-Koster, Ben, Sang, Nguyen Van, Truc, Le Van, Hiep, Le Huu, Xoan, Vo Bich, Tinh, Nguyen Thi Ngoc, An, La Thuy, Sammut, Jesmond, Burford, Michele A.

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Correction: A Bayesian belief data mining approach applied to rice and shrimp aquaculture von Randall, Marcus, Lewis, Andrew, Stewart-Koster, Ben, Anh, Nguyen Dieu, Burford, Michelle A, Condon, Jason, Qui, Nguyen Van, Hiep, Le Huu, Bay, Doan Van, Sang, Nguyen Van, Sammut, Jesmond

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Concurrent rice‐shrimp‐crab farming systems in the Mekong Delta: Are conditions (sub) optimal for crop production and survival? von Leigh, Catherine, Hiep, Le Huu, Stewart‐Koster, Ben, Vien, Duong Minh, Condon, Jason, Sang, Nguyen Van, Sammut, Jesmond, Burford, Michele Astrid

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Expert based model building to quantify risk factors in a combined aquaculture-agriculture system von Stewart-Koster, Ben, Dieu Anh, Nguyen, Burford, Michele A., Condon, Jason, Qui, Nguyen Van, Hiep, Le Huu, Bay, Doan Van, Sammut, Jesmond

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Does natural feed supply the nutritional needs of shrimp in extensive riceshrimp ponds? - A stable isotope tracer approach von Burford, Michele Astrid, Le Huu Hiep, Nguyen Van Sang, Chau Minh Khoi, Nguyen Kim Thu, Faggotter, Stephen John, Stewart-Koster, Ben, Condon, Jason, Sammut, Jesmond

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Does natural feed supply the nutritional needs of shrimp in extensive rice-shrimp ponds? – A stable isotope tracer approach von Burford, Michele Astrid, Hiep, Le Huu, Van Sang, Nguyen, Khoi, Chau Minh, Thu, Nguyen Kim, Faggotter, Stephen John, Stewart-Koster, Ben, Condon, Jason, Sammut, Jesmond

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A Bayesian belief data mining approach applied to rice and shrimp aquaculture von Marcus Randall, Andrew Lewis, Ben Stewart-Koster, Nguyen Dieu Anh, Michelle Burford, Jason Condon, Nguyen Van Qui, Le Huu Hiep, Doan Van Bay, Nguyen Van Sang, Jes Sammut

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Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping von Yariyan, Peyman, Janizadeh, Saeid, Van Phong, Tran, Nguyen, Huu Duy, Costache, Romulus, Van Le, Hiep, Pham, Binh Thai, Pradhan, Biswajeet, Tiefenbacher, John P.

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Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam von Phong Tung Nguyen, Duong Hai Ha, Jaafari, Abolfazl, Huu Duy Nguyen, Tran Van Phong, Al-Ansari, Nadhir, Prakash, Indra, Hiep Van Le, Binh Thai Pham

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Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam von Pham, Binh Thai, Luu, Chinh, Phong, Tran Van, Nguyen, Huu Duy, Le, Hiep Van, Tran, Thai Quoc, Ta, Huong Thu, Prakash, Indra

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Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis von Pham, Binh Thai, Nguyen, Manh Duc, Dao, Dong Van, Prakash, Indra, Ly, Hai-Bang, Le, Tien-Thinh, Ho, Lanh Si, Nguyen, Kien Trung, Ngo, Trinh Quoc, Hoang, Vu, Son, Le Hoang, Ngo, Huong Thanh Thi, Tran, Hieu Trung, Do, Ngoc Minh, Van Le, Hiep, Ho, Huu Loc, Tien Bui, Dieu

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Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction von Binh Thai Pham, Jaafari, Abolfazl, Avand, Mohammadtaghi, Al-Ansari, Nadhir, Tran Dinh Du, Hoang Phan Hai Yen, Tran Van Phong, Duy Huu Nguyen, Hiep Van Le, Mafi-Gholami, Davood, Prakash, Indra, Hoang Thi Thuy, Tran Thi Tuyen

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A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil von Binh Thai Pham, Qi, Chongchong, Lanh Si Ho, Trung Nguyen-Thoi, Al-Ansari, Nadhir, Manh Duc Nguyen, Huu Duy Nguyen, Hai-Bang Ly, Hiep Van Le, Prakash, Indra

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GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam von Luu, Chinh, Pham, Binh Thai, Phong, Tran Van, Costache, Romulus, Nguyen, Huu Duy, Amiri, Mahdis, Bui, Quynh Duy, Nguyen, Luan Thanh, Le, Hiep Van, Prakash, Indra, Trinh, Phan Trong

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Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques von Pham, Binh Thai, Jaafari, Abolfazl, Phong, Tran Van, Yen, Hoang Phan Hai, Tuyen, Tran Thi, Luong, Vu Van, Nguyen, Huu Duy, Le, Hiep Van, Foong, Loke Kok

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Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm von Tuyen, Tran Thi, Jaafari, Abolfazl, Yen, Hoang Phan Hai, Nguyen-Thoi, Trung, Phong, Tran Van, Nguyen, Huu Duy, Van Le, Hiep, Phuong, Tran Thi Mai, Nguyen, Son Hoang, Prakash, Indra, Pham, Binh Thai

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Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling von Phong Tung Nguyen, Duong Hai Ha, Huu Duy Nguyen, Tran Van Phong, Phan Trong Trinh, Al-Ansari, Nadhir, Hiep Van Le, Binh Thai Pham, Lanh Si Ho, Prakash, Indra

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