The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time.
Andrey StepnovVladimir ChernykhAlexey KonovalovPublished in: Sensors (2021)
Keyphrases
- real time
- machine learning
- special case
- pattern recognition
- seismic data
- recognition accuracy
- recognition rate
- object recognition
- computer vision
- data analysis
- active learning
- data mining
- low cost
- character recognition
- neural network
- automatic recognition
- emergency response
- model selection
- high speed
- natural language processing
- decision trees
- feature selection
- learning algorithm
- d objects
- unsupervised learning
- action recognition
- feature extraction
- inductive learning
- visual recognition
- artificial intelligence