A Survey of Machine Learning Applications in Microseismic Signal Recognition and Classification.
Hongmei ShuAhmad Yahya DawodLei MuWorawit TepsanPublished in: SKIMA (2023)
Keyphrases
- machine learning
- pattern recognition
- machine learning algorithms
- feature extraction
- object classification
- text classification
- machine learning methods
- decision trees
- signal processing
- classification accuracy
- correct recognition
- machine learning approaches
- image recognition
- unsupervised learning
- supervised machine learning
- automatic recognition
- support vector machine
- object recognition
- feature selection
- computer vision
- classification method
- recognition accuracy
- recognition process
- classification scheme
- automatic classification
- model selection
- robust classification
- pattern recognition tasks
- learning algorithm
- handwritten digits
- decision rules
- image classification
- supervised learning
- feature vectors
- support vector
- preprocessing stage
- supervised classification
- low error rates
- neural network
- recognition algorithm
- high frequency
- recognition rate
- feature space
- data analysis
- data mining
- data sets
- classification models
- inductive logic programming
- human activities
- classification algorithm
- frequency domain
- feature set