A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning.
Vinícius M. A. de SouzaRafael GiustiAntonio J. L. BatistaPublished in: Pervasive Mob. Comput. (2018)
Keyphrases
- low cost
- real time
- machine learning
- low power
- machine learning algorithms
- pattern recognition
- natural language processing
- low power consumption
- machine learning methods
- computational intelligence
- mobile devices
- information extraction
- decision trees
- knowledge acquisition
- sufficient conditions
- inductive logic programming
- embedded systems
- reinforcement learning
- knowledge base
- learning algorithm
- learning tasks
- learning problems
- neural network
- mobile applications
- smart phones
- data sets