Remaining Useful Life Prediction of Lithium-Ion Batteries: A Temporal and Differential Guided Dual Attention Neural Network

Engineering

• Battery (Electrochemical Energy Engineering) 50%
• Convolutional Layer 50%
• Data Characteristic 50%
• Deep Learning 50%
• Global Time 50%
• Life Prediction 100%
• Limitations 50%
• Lithium-Ion Batteries 100%
• Mean Absolute Error 50%
• NASA 50%
• Output Layer 50%
• Reliable Operation 50%
• Safe Operation 50%
• Safety Risk 50%
• Starting Point 50%
• State-of-the-Art Method 50%
• Tasks 50%

Computer Science

• Convolutional Layer 50%
• Data Characteristic 50%
• Deep Learning 50%
• Global Feature 50%
• Learning Technology 50%
• local feature 50%
• Mean Absolute Error 50%
• Neural Network 100%
• Outstanding Performance 50%
• Reliable Operation 50%
• Starting Point 50%
• Superior Performance 50%

Neuroscience

• Neural Network 100%