Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment.
Bruno CocciaroSilvia MerlinoMarco BianucciClaudio CasaniVincenzo PalleschiPublished in: Sensors (2023)
Keyphrases
- low cost
- real time
- mobile robot
- support vector
- support vector machine
- sensor data
- classification accuracy
- decision trees
- machine learning
- preprocessing
- feature selection
- supervised learning
- data acquisition
- class labels
- false positives
- automatic classification
- dynamic environments
- classification models
- future development
- practical application
- pattern classification
- online environment
- classification method
- benchmark datasets
- support vector machine svm
- training samples
- software engineering
- training set
- learning algorithm
- data sets