IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (0): add | show Print this page

Bayesian Belief Networks to reduce unintentional bycatch in riverine and estuarine plastic removal systems
Leone, G.; Catarino, A.I.; Pauwels, I.; Mani, T.; Tishler, M.; Egger, M.; Forio, M.A.E.; Goethals, P.L.M.; Everaert, G. (2022). Bayesian Belief Networks to reduce unintentional bycatch in riverine and estuarine plastic removal systems, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, Online event 2 March 2022. VLIZ Special Publication, 88: pp. 62
In: Mees, J.; Seys, J. (Ed.) (2022). Book of abstracts – VLIZ Marine Science Day, Online event 2 March 2022. VLIZ Special Publication, 88. Vlaams Instituut voor de Zee - Flanders Marine Institute (VLIZ): Oostende. v, 91 pp. https://dx.doi.org/10.48470/24, more
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, more

Available in  Authors 
Document type: Summary

Keyword
    Marine/Coastal
Author keywords
    Bayesian Belief Networks; Plastic clean-up technologies; Rivers; Estuaries

Authors  Top 
  • Forio, M.A.E., more
  • Goethals, P.L.M., more
  • Everaert, G., more

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors