An Energy-Autonomous Chemical Oxygen Demand Sensor Using a Microbial Fuel Cell and Embedded Machine Learning.
Farhad ShabaniHemma PhilamoreFumitoshi MatsunoPublished in: IEEE Access (2021)
Keyphrases
- fuel cell
- machine learning
- sensor networks
- micro controller
- energy consumption
- fault detection
- learning algorithm
- electrical energy
- real time
- sensor nodes
- machine learning methods
- sensor data
- energy minimization
- computational intelligence
- machine learning algorithms
- pattern recognition
- cooperative
- feature selection
- wireless sensor nodes
- knowledge acquisition
- neural network
- artificial neural networks
- reinforcement learning
- text mining
- energy supply
- information extraction
- computer vision
- decision trees
- active learning
- solar energy
- embedded systems
- multi sensor
- high temperature
- sequence data
- energy saving
- artificial intelligence
- computer science
- data analysis
- expert systems
- mobile robot
- power system
- fuzzy logic
- natural language processing