Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces.
Ivan P. MalashinDmitry MartysyukVadim TynchenkoVladimir A. NelyubAleksey S. BorodulinAndrei P. GantimurovAnton NisanNikolay NovozhilovViatcheslav ZelentsovAleksey FilimonovAndrey GalinovskyPublished in: Sensors (2024)
Keyphrases
- machine learning
- pattern recognition
- object recognition
- recognition rate
- water distribution
- recognition accuracy
- machine learning algorithms
- injection lasers
- automatic recognition
- three dimensional
- artificial intelligence
- computer vision
- decision trees
- feature extraction
- water flow
- learning tasks
- infrared
- unsupervised learning
- neural network
- data mining
- recognition algorithm
- learning systems
- knowledge acquisition
- active learning
- text classification
- feature selection
- image matching
- computational intelligence
- supervised learning
- range data
- information extraction
- explanation based learning
- learning algorithm
- free form
- free form surfaces
- support vector machine
- computer science