Automated analytical tools : API & artificial intelligence
Year: 2024
Type: article
Abstract: A still in progress method is presented for the automated classification of marine phytoplankton groups observed with flow cytometry data. This method uses the cytometer files converted into JSON files thanks to a conversion tool built from an API meaning the constructor software isn't needed to have access to the cytometer files. The training set of the model was created with particles manually classified in a consensual way by different experts The model used is a Random Forest and it gives great results, an approach to the tuning of the model's parameters and the selection of the most important predictor variables, to optimise the process and the results, is also presented.
Author: Lanoy, Lucinda
Institution: Laboratoire d’Océanologie et de Géosciences
Language: English
Subfield: Environmental Chemistry
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
Awards: OBSERVING AND MAPPING MARINE ECOSYSTEMS – NEXT GENERATION TOOLS, TOWARDS A JOINT EUROPEAN RESEARCH INFRASTRUCTURE NETWORK FOR COASTAL OBSERVATORIES, Transdisciplinary graduate school for marIne, Fisheries and SEAfood sciences, Observing and anticipating the evolution of River-dominated ocean margins in the 21st century, Integration of European marine research networks of excellence - Euromarine, SeaDataNet II: Pan-European infrastructure for ocean and marine data management
OpenAlex ID: W6968037756
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