Contaminants detection and classification through a customized IoT-based platform: A case study.
Giovanni BettaGianni CerroMarco FerdinandiLuigi FerrignoMario MolinaraPublished in: IEEE Instrum. Meas. Mag. (2019)
Keyphrases
- image classification
- classification accuracy
- support vector
- pattern recognition
- neyman pearson
- classification method
- feature extraction
- feature extraction and classification
- feature vectors
- detection method
- classification algorithm
- automatic classification
- classification scheme
- feature space
- robust detection
- real time
- machine learning
- classification process
- classification systems
- classification rate
- support vector machine classifier
- microcalcification clusters
- feature set
- feature selection
- support vector machine
- management system
- text classification
- model selection
- unsupervised learning
- benchmark datasets
- automatic detection
- test bed
- cloud computing
- supervised learning
- object detection
- support vector machine svm
- training set
- preprocessing
- case study
- decision trees
- training samples