Accurate short-term forecasting of river water levels plays an important role in flood risk management and water resource planning. This study proposes a hybrid forecasting framework that integrates...

Author: Dũng Nguyễn Đình, Trinh Nguyen Hien

Keyword: Machine learning models Time series forecasting LightGBM LSTM Hybrid model Mekong river

In recent years, Machine Learning (ML) has become a crucial and promising tool for forecasting and solving a wide range of complex problems. The rapid development of machine learning is closely linked...

Author: Thuc Hoang Van, Thang Vu Chien, Nam Pham Thanh, Thao Doan Thi Thanh, Ngoc Pham Van, Phuong Mac Thi

Keyword: 5G Traffic base station BTS for 5G Network 5G/BTS Traffic 5G Traffic

This study aims to assess the potential and propose a system of strategic solutions for green tourism development in the UNESCO Global Geopark of Dong Van Karst Plateau, Tuyen Quang Province. The...

Author: Hoa Nguyễn Hoàng, Duy Nguyễn Văn

Keyword: green tourism UNESCO Global Geopark Dong Van Karst Plateau sustainable development Tuyen Quang

Intrusion Detection Systems (IDS) are crucial in safeguarding network security against increasingly sophisticated threats. In this study, we propose a Transformer-based intrusion detection model to...

Author: Vu Phuong Thi, Ha Hoang Thi Hong, Truong Dinh Gia, Yen Tran Thi

Keyword: Intrusion Detection Transformer UNSW-NB15 Cybersecurity Self-attention

Study on chemical composition of essential oils from leaves, bark and fruits of Litsea elongata species, essential oil content reached ...% corresponding to fresh materials. Essential oils were...

Author: Tai Dinh Duc, Hieu Do Trong

Keyword: essential oils Litsea elongata Pù Hoạt