Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Hussein Al-BazzazMuhammad AzamManar AmayriNizar BouguilaPublished in: Sensors (2023)
Keyphrases
- energy consumption
- mixture model
- unsupervised learning
- wireless sensor networks
- energy saving
- gaussian mixture model
- energy efficient
- energy efficiency
- em algorithm
- energy conservation
- density estimation
- sensor networks
- generative model
- routing protocol
- model selection
- data center
- base station
- probabilistic model
- image segmentation
- bayesian information criterion
- sensor nodes
- maximum likelihood
- expectation maximization
- data transmission
- mixture modeling
- save energy
- semi supervised
- language model
- routing algorithm
- feature vectors
- segmentation algorithm
- feature set
- multi hop
- information retrieval
- total energy
- automatic model selection
- data sets
- greenhouse gas emissions
- residual energy
- image features
- object recognition
- data mining