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Nguyen Dinh Thuan
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Conference and Workshop Papers
- 2023
- [c9]Nguyen Minh Nhut, Dang Minh Quan, Le Mai Duy Khanh, Nguyen Dinh Thuan:
Evaluate the Efficiency of Hybrid Model Based on Convolutional Neural Network and Long Short-Term Memory in Information Technology Job Graph Network. FDSE 2023: 403-417 - [c8]Nguyen Dinh Thuan, Tran Man Quan, Dang Nguyen Phuoc An, Nguyen Minh Nhut:
Community Detection for Personalized Learning Pathway Recommendations on IT E-Learning System. FDSE 2023: 598-605 - 2022
- [c7]Pham Thanh Binh, Nguyen Dinh Thuan:
Predicting Loan Repayment Using a Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks. FDSE (CCIS Volume) 2022: 161-175 - [c6]Nguyen Dinh Thuan, Nguyen Minh Nhut, Nguyen Thi Viet Huong, Dang Vu Phuong Uyen:
Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm. FDSE (CCIS Volume) 2022: 532-546 - [c5]Nguyen Dinh Thuan, Nguyen Thi Viet Huong:
Using Regression and Algorithms in Artificial Intelligence to Predict the Price of Bitcoin. FTC (1) 2022: 426-438 - [c4]Bui Tong Nha, Nguyen Dinh Thuan:
Methodology Interaction by Machine Learning Model to Detect Vulnerability in Smart Contract of Blockchain. RIVF 2022: 112-117 - [c3]Nguyen Dinh Thuan, Nguyen Minh Nhut, Dang Minh Quan, Le Mai Duy Khanh:
Using Blockchain and Artificial Intelligence to build a Job Recommendation System for Students in Information Technology. RIVF 2022: 364-369 - 2020
- [c2]Nguyen Dinh Thuan, Hoang Tung:
Using Fuzzy Time Series Model Based on Hedge Algebras and Relationship Groups Following Time Points for Forecasting Time Series. FDSE (CCIS Volume) 2020: 401-410 - 2008
- [c1]Nguyen Dinh Thuan:
Mining Time Pattern Association Rules in Temporal Database. SCSS (1) 2008: 7-11
Coauthor Index
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