Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

Benthic diatoms are unicellular microalgae that are routinely used as bioindicators for
monitoring the ecological status of freshwater. Their identification using light microscopy is a …

This paper deals with automatic taxa identification based on machine learning methods. The
aim is therefore to automatically classify diatoms, in terms of pattern recognition terminology …

Featured Application Development of a fully operative low-cost automated digital
microscope for the detection of diatoms by applying deep learning. Abstract Currently …

Automatic classification of aquatic microorganisms is based on the morphological features
extracted from individual images. The current works on their classification do not consider …

Diatoms are among the dominant phytoplankters in marine and freshwater habitats, and
important biomarkers of water quality, making their identification and classification one of the …

Recent works show that the data distribution in a network's latent space is useful for
estimating classification uncertainty and detecting Out-Of-Distribution (OOD) samples. To …

Diatoms are a crucial component in the study of aquatic ecosystems and ancient
environmental records. However, traditional methods for identifying diatoms, such as …

Shortest path algorithms have been used in a number of applications such as crack
detection, road or linear feature extraction in images. There are applications where the …

Diatoms are a type of algae with many species. Accurate and quick classification of diatom
species is important in many fields, such as water quality analysis and weather change …