Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning.
Mohamed LayouniMohamed Salah HamdiSofiène TaharPublished in: Appl. Soft Comput. (2017)
Keyphrases
- machine learning
- oil spill
- natural gas
- multiresolution
- pattern detection
- pattern matching
- genetic algorithm
- false positives
- multiscale
- detection method
- object detection
- signal processing
- oil field
- wavelet transform
- computer science
- information extraction
- computer vision
- feature selection
- false alarms
- pattern discovery
- image processing
- machine learning algorithms
- text classification
- pattern recognition
- natural language processing
- learning tasks
- data mining
- learning algorithm
- active learning
- genetic search
- neural network
- automatic detection
- knowledge acquisition
- machine learning methods
- image compression
- reinforcement learning
- video sequences
- anomaly detection
- image representation