Towards Deep Learning for Predicting Microbial Fuel Cell Energy Output.
Adam Hess-DunlopHarshitha KakaniColleen JosephsonPublished in: CoRR (2024)
Keyphrases
- deep learning
- fuel cell
- unsupervised learning
- unsupervised feature learning
- machine learning
- fault detection
- deep architectures
- mental models
- weakly supervised
- neural network
- decision making
- online learning
- decision support system
- supervised learning
- information extraction
- pattern recognition
- computer vision
- data sets