Assessing the Risk of Extreme Storm Surges from Tropical Cyclones under Climate Change Using Bidirectional Attention-Based LSTM for Improved Prediction

Engineering

• Long Short-Term Memory 100%
• Climate Change 100%
• Machine Learning Technique 66%
• Limitations 33%
• Accurate Prediction 33%
• Linear Relationship 33%
• Infrastructure 33%
• Metrics 33%
• Mean Absolute Error 33%
• Root-Mean-Squared Error 33%
• Decision Maker 33%
• Enhanced Model 33%
• Predictive Capability 33%
• Disaster Preparedness 33%
• Physical Model 33%
• Disaster Mitigation 33%
• Lead Time 33%
• Adaptive Systems 33%
• Disaster Response 33%

Computer Science

• Long Short-Term Memory Network 100%
• Machine Learning Technique 66%
• Term Dependency 33%
• Mean Absolute Error 33%
• Root Mean Squared Error 33%
• Prediction Accuracy 33%
• Model Accuracy 33%
• Risk Management 33%
• Physical Model 33%
• Outstanding Performance 33%
• Decision Maker 33%
• Linear Relationship 33%
• Adaptive Systems 33%

Earth and Planetary Sciences

• Climate Change 100%
• Storm Surge 100%
• Tropical Cyclone 100%
• Real Time 28%
• Machine Learning 28%
• Macao 14%
• Disaster Preparedness 14%
• Risk Management 14%