Drivers of harmful algal blooms in coastal areas of Eastern Mediterranean: a machine learning methodological approach
Harmful algal species are present in the Mediterranean Sea and are often associated with toxic events affecting the nearby coastal zones. The presence of 18 marine microalgae, at genus level, associated with potentially harmful characteristics was predicted using a number of machine learning techniq...
Enregistré dans:
Auteurs principaux: | Androniki Tamvakis, George Tsirtsis, Michael Karydis, Kleanthis Patsidis, Giorgos D. Kokkoris |
---|---|
Format: | article |
Langue: | EN |
Publié: |
AIMS Press
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e39e6b3c9c404c61b0571a2509caa1d1 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Temporal dynamics of the phytoplankton community associated with environmental factors and harmful algal blooms in Acapulco Bay, Mexico
par: Cervantes-Urieta,Víctor A., et autres
Publié: (2021) -
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective
par: Rabia Munsaf Khan, et autres
Publié: (2021) -
Metabarcoding Analysis of Harmful Algal Bloom Species in the Western Pacific Seamount Regions
par: Qing Xu, et autres
Publié: (2021) -
Mechanism by Which MC Controls Harmful Algal Blooms Revealed by Cell Morphology of <i>Aureococcus anophagefferens</i>
par: Jianan Zhu, et autres
Publié: (2021) -
Predicting coastal algal blooms with environmental factors by machine learning methods
par: Peixuan Yu, et autres
Publié: (2021)