Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks.
Mengjie ZhaoCees TaalStephan BaggerohrOlga FinkPublished in: CoRR (2024)
Keyphrases
- real time
- neural network
- prediction accuracy
- spatio temporal
- prediction model
- pattern recognition
- virtual environment
- artificial neural networks to predict
- sensor networks
- neural network model
- directed graph
- data acquisition
- graph structure
- search and rescue operations
- low cost
- random walk
- sensor fusion
- graph representation
- high fidelity
- multi layer perceptron
- virtual reality
- neural network ensemble
- temporal constraints
- virtual world
- high speed
- graph model
- weighted graph
- prediction error
- augmented reality
- heterogeneous sensor networks
- artificial neural networks
- temporal databases
- real environment
- load forecasting
- fuzzy logic
- temporal patterns
- multi sensor
- temporal reasoning
- social networks
- feed forward
- spatial and temporal
- sensor data
- back propagation
- load balancing
- data fusion
- wireless sensor
- image sequences
- control system
- genetic algorithm