A Benchmarking on Optofluidic Microplastic Pattern Recognition: A Systematic Comparison Between Statistical Detection Models and ML-Based Algorithms
Author:
Affiliation:
1. Department of Engineering, Research Unit of Computer Systems and Bioinformatics, Università Campus Bio-Medico di Roma, Rome, Italy
2. Department of Experimental Medicine, University of Rome “Tor Vergata,”, Rome, Italy
Funder
PON “Ricerca e Innovazione”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10419362.pdf?arnumber=10419362
Reference19 articles.
1. A global mass budget for positively buoyant macroplastic debris in the ocean
2. An overview of chemical additives present in plastics: Migration, release, fate and environmental impact during their use, disposal and recycling
3. Microplastic pollution monitoring with holographic classification and deep learning
4. Microfibers from synthetic textiles as a major source of microplastics in the environment: A review
5. Microplastics as contaminants in the marine environment: A review
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