Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors.
Lucas D. C. de CastroLeonardo F. S. ScabiniLucas Correia RibasOdemir M. BrunoOsvaldo N. Oliveira Jr.Published in: Expert Syst. Appl. (2023)
Keyphrases
- image processing
- machine learning
- real time
- pattern recognition
- speech processing
- force sensing
- computer vision
- machine vision
- signal processing
- image restoration
- sensor data
- digital image processing
- sensor fusion
- image denoising
- monitoring system
- decision trees
- multi sensor
- finite element
- machine learning methods
- image enhancement
- hough transform
- data fusion
- model selection
- data mining
- learning algorithm
- image registration
- natural language processing
- sensor networks
- image analysis
- data analysis
- color images
- learning problems
- learning tasks
- edge detection
- support vector machine
- image processing algorithms
- explanation based learning
- machine learning algorithms
- text mining
- machine learning approaches
- natural language
- image segmentation
- artificial intelligence
- wearable sensors
- mobile robot
- inductive learning
- knowledge representation
- remote sensing
- denoising
- computer graphics
- learning systems
- semi supervised learning
- computational intelligence
- text classification