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    Chapter and Conference Paper

    Biodeposition of Diatoms in Recycled Aggregates

    This work studies the behaviour of diatoms in artificial culture environments and analyses the biodeposition of diatom frustules in different sizes of mixed recycled aggregates. In order to be able to use this...

    Daniel Merino-Maldonado in Global Challenges for a Sustainable Societ… (2023)

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    Chapter

    Overview: Antecedents, Motivation and Necessity

    This chapter introduces the antecedents, motivation, and necessity of the use of automatic identification methods in diatom taxonomy. Expert biologists have a repetitive and laborious identification mission. T...

    Gabriel Cristóbal, Saúl Blanco, Gloria Bueno in Modern Trends in Diatom Identification (2020)

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    Chapter

    Diatom Taxonomy and Identification Keys

    Correct identification of diatom taxa is indispensable for diatom-based water quality studies, as well as for biotechnological applications. Biological applications of taxonomy include the identification of ta...

    Saúl Blanco in Modern Trends in Diatom Identification (2020)

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    Chapter

    Water Quality Assessment

    Diatom metrics methods are becoming important tools for the assessment of environmental conditions in aquatic systems. Diatoms have several advantages as bioindicators: their ubiquitous distribution across wor...

    A. Goldenberg-Vilar, R. Álvarez-Troncoso in Modern Trends in Diatom Identification (2020)

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    Chapter

    Naturally and Environmentally Driven Variations in Diatom Morphology: Implications for Diatom-Based Assessment of Water Quality

    Diatom identification must consider the large variability in both morphological and morphometric features, characteristic of this group of microorganisms. This chapter describes variations in shape/size observ...

    Adriana Olenici, Călin Baciu, Saúl Blanco in Modern Trends in Diatom Identification (2020)

  6. Chapter and Conference Paper

    Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation

    Diatom identification is a crucial process to estimate water quality, which is essential in biological studies. This process can be automated with machine learning algorithms. For this purpose, a dataset with ...

    Jesús Ruiz-Santaquitaria, Anibal Pedraza in Pattern Recognition and Image Analysis (2019)