Showing items with similar title or keywords.

• Updating strategies for distance based classification model with recursive least squares 

  Raita-Hakola, Anna-Maria; Pölönen, Ilkka (Copernicus Publications, 2022)

  The idea is to create a self-learning Minimal Learning Machine (MLM) model that is computationally efficient, easy to implement and performs with high accuracy. The study has two hypotheses. Experiment A examines the ...

• Resolving phytoplankton pigments from spectral images using convolutional neural networks 

  Salmi, Pauliina; Pölönen, Ilkka; Beckmann, Daniel Atton; Calderini, Marco L.; May, Linda; Olszewska, Justyna; Perozzi, Laura; Pääkkönen, Salli; Taipale, Sami; Hunter, Peter (John Wiley & Sons, 2024)

  Motivated by the need for rapid and robust monitoring of phytoplankton in inland waters, this article introduces a protocol based on a mobile spectral imager for assessing phytoplankton pigments from water samples. The ...

• Assessing and predicting the influence of chromophoric dissolved organic matter on light absorption by phytoplankton in boreal lakes 

  Ahonen, Salla A.; Vuorio, Kristiina M.; Jones, Roger I.; Hämäläinen, Heikki; Rantamo, Krista; Tiirola, Marja; Vähätalo, Anssi V. (John Wiley & Sons, 2024)

  Many boreal lakes are colored brown due to strong light absorption by chromophoric dissolved organic matter (CDOM), which reduces light penetration into the water column. However, the influence of CDOM on the fraction of ...

• Phytoplankton group identification with chemotaxonomic biomarkers : In combination they do better 

  Peltomaa, E.; Asikainen, H.; Blomster, J.; Pakkanen, H.; Rigaud, C.; Salmi, P.; Taipale, S. (Elsevier, 2023)

  Chemotaxonomic biomarkers are needed to monitor and evaluate the nutritional quality of phytoplankton communities. The biomolecules produced by different phytoplankton species do not always follow genetic phylogeny. ...

• A practical approach to improve the statistical performance of surface water monitoring networks 

  Kotamäki, Niina; Järvinen, Marko; Kauppila, Pirkko; Korpinen, Samuli; Lensu, Anssi; Malve, Olli; Mitikka, Sari; Silander, Jari; Kettunen, Juhani (Springer Netherlands, 2019)

  The representativeness of aquatic ecosystem monitoring and the precision of the assessment results are of high importance when implementing the EU’s Water Framework Directive that aims to secure a good status of waterbodies ...