Digital Assessment and Classification of Wine Faults Using a Low-Cost Electronic Nose, Near-Infrared Spectroscopy and Machine Learning Modelling.
Claudia Gonzalez ViejoSigfredo FuentesPublished in: Sensors (2022)
Keyphrases
- machine learning
- low cost
- pattern recognition
- electronic nose
- machine learning methods
- machine learning algorithms
- decision trees
- text classification
- feature selection
- classification accuracy
- supervised learning
- support vector
- data mining
- feature extraction
- cancer diagnosis
- risk assessment
- machine vision
- unsupervised learning
- support vector machine
- image data
- training set
- fault diagnosis
- image classification
- high dimensionality
- quality evaluation
- data sets