EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems.
Lucas Tsutsui da SilvaVinícius M. A. de SouzaGustavo E. A. P. A. BatistaPublished in: ICTAI (2019)
Keyphrases
- embedded systems
- low cost
- supervised learning algorithms
- computing power
- resource limited
- embedded devices
- embedded software
- real time systems
- learning algorithm
- supervised learning
- embedded real time systems
- hardware software
- machine learning algorithms
- unlabeled data
- field programmable gate array
- real time
- labeled data
- software systems
- object oriented
- multi agent systems
- feature selection