Simultaneous Organic Matter and Nitrogen Removal from Piggery Slaughterhouse Wastewater Using Bioaugmented Gaslift Membrane Bioreactor von Toan, Nguyen Duc, Tuyen, Nguyen Van, Hai, Pham Bang, Ha, Nguyen Thi Hoang, Anh, Do Tien, Dung, Bach Quang

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Assessment of water quality under real-world conditions: effects of steel slag backfills on ground and surface water von Le, Song Thi, Le, Anh Tuan, Cao, Mai Thi Tu, Pham, Hai Bang, Nguyen, Tam Thi, Le, Thanh Trung, Nishiwaki, Nagatoshi

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Prise en charge des médiastinites et des abcès médiastinaux : à propos de 56 observations von Chinh, Nguyen Duc, Trung, Pham Van, Bang, Pham Hai, Chuong, Pham Long, Tuy, Nguyen May

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Surgical management of mediastinitis and mediastinal abscess: a series of 56 cases von Nguyen, Duc Chinh, Pham, Van Trung, Pham, Hai Bang, Pham, Long Chuong, Nguyen, May Tuy

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Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete von Dao, Dong Van, Ly, Hai-Bang, Trinh, Son Hoang, Le, Tien-Thinh, Pham, Binh Thai

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A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods von Khosravi, Khabat, Shahabi, Himan, Pham, Binh Thai, Adamowski, Jan, Shirzadi, Ataollah, Pradhan, Biswajeet, Dou, Jie, Ly, Hai-Bang, Gróf, Gyula, Ho, Huu Loc, Hong, Haoyuan, Chapi, Kamran, Prakash, Indra

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Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity von Pham, Tuan Anh, Tran, Van Quan, Vu, Huong-Lan Thi, Ly, Hai-Bang

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Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil von Nguyen, Quang Hung, Ly, Hai-Bang, Ho, Lanh Si, Al-Ansari, Nadhir, Le, Hiep Van, Tran, Van Quan, Prakash, Indra, Pham, Binh Thai

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Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength von Ly, Hai-Bang, Nguyen, May Huu, Pham, Binh Thai

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A spatially explicit deep learning neural network model for the prediction of landslide susceptibility von Dao, Dong Van, Jaafari, Abolfazl, Bayat, Mahmoud, Mafi-Gholami, Davood, Qi, Chongchong, Moayedi, Hossein, Phong, Tran Van, Ly, Hai-Bang, Le, Tien-Thinh, Trinh, Phan Trong, Luu, Chinh, Quoc, Nguyen Kim, Thanh, Bui Nhi, Pham, Binh Thai

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Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models von Ly, Hai-Bang, Pham, Binh Thai, Le, Lu Minh, Le, Tien-Thinh, Le, Vuong Minh, Asteris, Panagiotis G.

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A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping von Pham, Binh Thai, Phong, Tran Van, Nguyen, Huu Duy, Qi, Chongchong, Al-Ansari, Nadhir, Amini, Ata, Ho, Lanh Si, Tuyen, Tran Thi, Yen, Hoang Phan Hai, Ly, Hai-Bang, Prakash, Indra, Tien Bui, Dieu

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Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression von Le, Lu Minh, Ly, Hai-Bang, Pham, Binh Thai, Le, Vuong Minh, Pham, Tuan Anh, Nguyen, Duy-Hung, Tran, Xuan-Tuan, Le, Tien-Thinh

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Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt von Nguyen, Hoang-Long, Le, Thanh-Hai, Pham, Cao-Thang, Le, Tien-Thinh, Ho, Lanh Si, Le, Vuong Minh, Pham, Binh Thai, Ly, Hai-Bang

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Development of advanced artificial intelligence models for daily rainfall prediction von Pham, Binh Thai, Le, Lu Minh, Le, Tien-Thinh, Bui, Kien-Trinh Thi, Le, Vuong Minh, Ly, Hai-Bang, Prakash, Indra

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Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods von Phong, Tran Van, Pham, Binh Thai, Trinh, Phan Trong, Ly, Hai‐Bang, Vu, Quoc Hung, Ho, Lanh Si, Le, Hiep Van, Phong, Lai Hop, Avand, Mohammadtaghi, Prakash, Indra

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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 Pham, Binh Thai, Qi, Chongchong, Ho, Lanh Si, Nguyen-Thoi, Trung, Al-Ansari, Nadhir, Nguyen, Manh Duc, Nguyen, Huu Duy, Ly, Hai-Bang, Le, Hiep Van, Prakash, Indra

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Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches von Dao, Dong, Trinh, Son, Ly, Hai-Bang, Pham, Binh

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Investigation on factors affecting early strength of high-performance concrete by Gaussian Process Regression von Ly, Hai-Bang, Nguyen, Thuy-Anh, Pham, Binh Thai

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A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation von Dao, Dong Van, Adeli, Hojjat, Ly, Hai-Bang, Le, Lu Minh, Le, Vuong Minh, Le, Tien-Thinh, Pham, Binh Thai

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