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Journal Articles
- 2024
[j14]Viet-Ha Nhu
, Phan Cao Duong, Pham Viet Hoa, Pham The Vinh, Dieu Tien Bui:
A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential. IEEE Access 12: 26344-26363 (2024)- 2023
- [j13]Xuan Truong Tran, Viet-Ha Nhu, Doan Thi Nam Phuong, Le Thanh Nghi, Nguyen Nhu Hung, Pham Viet Hoa, Dieu Tien Bui:
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas. Remote. Sens. 15(14): 3458 (2023) - [j12]Viet-Ha Nhu, Pham Viet Hoa, Laura Melgar-García, Dieu Tien Bui:
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions. Remote. Sens. 15(19): 4761 (2023) - 2022
- [j11]Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez:
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm. Comput. Aided Civ. Infrastructure Eng. 37(11): 1368-1386 (2022) - [j10]Minh-Tu Cao, Nhat-Duc Hoang, Viet-Ha Nhu, Dieu Tien Bui:
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. Eng. Comput. 38(3): 2185-2207 (2022) - 2021
- [j9]Hung Van Le, 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:
A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas. Ecol. Informatics 63: 101300 (2021) - 2020
- [j8]Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, Pham Viet Hoa, Phuong-Thao Thi Ngo, Viet-Ha Nhu:
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater. Int. J. Digit. Earth 13(12): 1408-1429 (2020) - [j7]Viet-Ha Nhu, Nhat-Duc Hoang, Van-Binh Duong, Hong-Dang Vu, Dieu Tien Bui:
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). Eng. Comput. 36(2): 603-616 (2020) - [j6]Viet-Ha Nhu, Pijush Samui, Deepak Kumar, Anshuman Singh, Nhat-Duc Hoang, Dieu Tien Bui:
Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study. Eng. Comput. 36(4): 1405-1416 (2020) - [j5]Viet-Ha Nhu, Himan Shahabi, Ebrahim Nohani, Ataollah Shirzadi, Nadhir Al-Ansari, Sepideh Bahrami, Shaghayegh Miraki, Marten Geertsema, Hoang Nguyen:
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms. ISPRS Int. J. Geo Inf. 9(8): 479 (2020) - [j4]Viet Nghia Nguyen, Peyman Yariyan, Mahdis Amiri, An Dang Tran, Tien Dat Pham, Minh Phuong Do, Phuong-Thao Thi Ngo, Viet-Ha Nhu, Nguyen Quoc Long, Dieu Tien Bui:
A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data. Remote. Sens. 12(9): 1373 (2020) - [j3]Viet-Ha Nhu, Phuong-Thao Thi Ngo, Tien Dat Pham, Jie Dou, Xuan Song, Nhat-Duc Hoang, An Dang Tran, Phan Cao Duong, Ibrahim Berkan Aydilek, Mahdis Amiri, Romulus Costache, Pham Viet Hoa, Dieu Tien Bui:
A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping. Remote. Sens. 12(17): 2688 (2020) - 2019
- [j2]Dieu Tien Bui, Nhat-Duc Hoang, Viet-Ha Nhu:
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). Eng. Comput. 35(3): 955-965 (2019) - 2018
- [j1]Dieu Tien Bui, Viet-Ha Nhu, Nhat-Duc Hoang:
Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network. Adv. Eng. Informatics 38: 593-604 (2018)
Coauthor Index
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