Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data.
Sunghwan KimSeHee JungSeongMin YangJiSeong HanByungYong LeeJaehwa LeeSung Won HanPublished in: J. Sensors (2019)
Keyphrases
- image data
- cooperative
- probabilistic model
- computer vision
- complex systems
- real time
- wireless sensor networks
- peer to peer
- statistical models
- communication networks
- function approximation
- artificial neural networks
- reinforcement learning
- model selection
- augmented reality
- network structure
- complex networks
- computer networks
- temporal constraints
- abstraction levels
- temporal dependencies