Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network. - Dieu Tien Bui; Viet-Ha Nhu; Nhat-Duc Hoang (Adv. Eng. Informatics, 2018)

A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam). - Dieu Tien Bui; Nhat-Duc Hoang; Viet-Ha Nhu (Eng. Comput., 2019)

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater. - Mohammadtaghi Avand; Saeid Janizadeh; Dieu Tien Bui; Pham Viet Hoa; Phuong-Thao Thi Ngo; Viet-Ha Nhu (Int. J. Digit. Earth, 2020)

A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam). - Viet-Ha Nhu; Nhat-Duc Hoang; Van-Binh Duong; Hong-Dang Vu; Dieu Tien Bui (Eng. Comput., 2020)

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study. - Viet-Ha Nhu; Pijush Samui; Deepak Kumar 009; Anshuman Singh; Nhat-Duc Hoang; Dieu Tien Bui (Eng. Comput., 2020)

Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms. - Viet-Ha Nhu; Himan Shahabi; Ebrahim Nohani; Ataollah Shirzadi; Nadhir Al-Ansari; Sepideh Bahrami; Shaghayegh Miraki; Marten Geertsema; Hoang Nguyen 001 (ISPRS Int. J. Geo Inf., 2020)

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data. - Viet Nghia Nguyen; Peyman Yariyan; Mahdis Amiri; An Dang Tran; Tien Dat Pham 001; Minh Phuong Do; Phuong-Thao Thi Ngo; Viet-Ha Nhu; Nguyen Quoc Long; Dieu Tien Bui (Remote. Sens., 2020)

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 001; Jie Dou; Xuan Song 001; Nhat-Duc Hoang; An Dang Tran; Phan Cao Duong; Ibrahim Berkan Aydilek; Mahdis Amiri; Romulus Costache; Pham Viet Hoa; et al. (Remote. Sens., 2020)

A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas. - Hung Van Le 001; Duc Anh Hoang; Chuyen Trung Tran; Phi Quoc Nguyen; Van Hai Thi Tran; Nhat-Duc Hoang; Mahdis Amiri; Phuong-Thao Thi Ngo; Viet-Ha Nhu; Van Thong Hoang; Dieu Tien Bui (Ecol. Informatics, 2021)

Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm. - Kien-Trinh Thi Bui; José F. Torres; David Gutiérrez-Avilés; Viet-Ha Nhu; Dieu Tien Bui; Francisco Martínez-Álvarez (Comput. Aided Civ. Infrastructure Eng., 2022)

An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. - Minh-Tu Cao; Nhat-Duc Hoang; Viet-Ha Nhu; Dieu Tien Bui (Eng. Comput., 2022)

A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas. - Xuan Truong Tran; Viet-Ha Nhu; Doan Thi Nam Phuong; Le Thanh Nghi; Nguyen Nhu Hung; Pham Viet Hoa; Dieu Tien Bui (Remote. Sens., 2023)

Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions. - Viet-Ha Nhu; Pham Viet Hoa; Laura Melgar-García; Dieu Tien Bui (Remote. Sens., 2023)

A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential. - Viet-Ha Nhu; Phan Cao Duong; Pham Viet Hoa; Pham The Vinh; Dieu Tien Bui (IEEE Access, 2024)