AIMC Topic: Diatoms

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Comparison of models for predicting the changes in phytoplankton community composition in the receiving water system of an inter-basin water transfer project.

Environmental pollution (Barking, Essex : 1987) Feb 10, 2017
Inter-basin water transfer projects might cause complex hydro-chemical and biological variation in the receiving aquatic ecosystems. Whether machine learning models can be used to predict changes in phytoplankton community composition caused by water...
Neural Networks, Computer Machine Learning Ecosystem Cyanobacteria China Environmental Monitoring Support Vector Machine Seasons Phytoplankton Water Microbiology Chlorophyta Diatoms Water Resources
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Mixotrophy in the phototrophic dinoflagellate Takayama helix (family Kareniaceae): Predator of diverse toxic and harmful dinoflagellates.

Harmful algae Nov 13, 2016
Takayama spp. are phototrophic dinoflagellates belonging to the family Kareniaceae and have caused fish kills in several countries. Understanding their trophic mode and interactions with co-occurring phytoplankton species are critical steps in compre...
Dinoflagellida Cryptophyta Diatoms Food Chain Phototrophic Processes
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Production of the Neurotoxin BMAA by Marine Diatoms Drives Its Widespread Occurrence in Estuarine and Coastal Ecosystems.

Environmental science & technology Jul 1, 2025
Phytoplankton are the primary producers of marine neurotoxins such as β--methylamino-l-alanine (BMAA), which cause seafood poisoning outbreaks in estuarine and coastal regions. BMAA has gained much attention for its pathogenic link to Alzheimer's and...
Ecosystem Nitrogen Phytoplankton Seawater Diatoms Amino Acids, Diamino Estuaries Neurotoxins Cyanobacteria Toxins
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"UDE DIATOMS in the Wild 2024": a new image dataset of freshwater diatoms for training deep learning models.

GigaScience Jan 2, 2024
BACKGROUND: Diatoms are microalgae with finely ornamented microscopic silica shells. Their taxonomic identification by light microscopy is routinely used as part of community ecological research as well as ecological status assessment of aquatic ecos...
Deep Learning Image Processing, Computer-Assisted Fresh Water Microscopy Diatoms
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Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test.

Fa yi xue za zhi Feb 25, 2022
OBJECTIVES: To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognit...
Humans Neural Networks, Computer Algorithms Deep Learning ROC Curve Diatoms
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Application of Artificial Intelligence Automatic Diatom Identification System in Practical Cases.

Fa yi xue za zhi Apr 1, 2020
Objective To discuss the application of artificial intelligence automatic diatom identification system in practical cases, to provide reference for quantitative diatom analysis using the system and to validate the deep learning model incorporated int...
Humans Artificial Intelligence Lung Cadaver Diatoms Drowning
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[Deep learning network-based recognition and localization of diatom images against complex background].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Feb 29, 2020
We propose a deep learning network-based method for recognizing and locating diatom targets with interference by complex background in autopsy.The system consisted of two modules: the preliminary positioning module and the accurate positioning module...
Neural Networks, Computer Databases, Factual Deep Learning Diatoms
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