AIMC Topic: Fresh Water

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An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates.

Journal of environmental management May 1, 2021
Species distribution models (SDMs), in which species occurrences are related to a suite of environmental variables, have been used as a decision-making tool in ecosystem management. Complex machine learning (ML) algorithms that lack interpretability ...
Machine Learning Republic of Korea Ecosystem Fresh Water Rivers
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Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning.

PloS one Mar 18, 2021
The Dendrocephalus brasiliensis, a native species from South America, is a freshwater crustacean well explored in conservational and productive activities. Its main characteristics are its rusticity and resistance cysts production, in which the hatch...
Image Processing, Computer-Assisted Animals Fresh Water South America Deep Learning Ecological Parameter Monitoring Anostraca
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Robotic environmental DNA bio-surveillance of freshwater health.

Scientific reports Sep 1, 2020
Autonomous water sampling technologies may help to overcome the human resource challenges of monitoring biological threats to rivers over long time periods and across large geographic areas. The Monterey Bay Aquarium Research Institute has pioneered ...
Fishes Humans Rivers Fresh Water DNA, Environmental Animals Robotics Environmental Monitoring Feasibility Studies
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Manganese (Mn) removal prediction using extreme gradient model.

Ecotoxicology and environmental safety Aug 10, 2020
Exploring the Manganese (Mn) removal prediction with several independent variables is tremendously critical and indispensable to understand the pattern of removal process. Mn is one of the key heavy metals (HMs) stipulated by the WHO for the developm...
Machine Learning Algorithms Support Vector Machine Water Pollutants, Chemical Fresh Water Manganese Forecasting Ecosystem Models, Theoretical
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Microplastics but not natural particles induce multigenerational effects in Daphnia magna.

Environmental pollution (Barking, Essex : 1987) Dec 31, 2019
Several studies have investigated the effects of nano- and microplastics on daphnids as key freshwater species. However, while information is abundant on the acute toxicity of plastic beads, little is known regarding the multigenerational effects of ...
Plastics Humans Animals Microplastics Female Water Pollutants, Chemical Daphnia Reproduction Infant, Newborn Fresh Water
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Anthropogenic activities impact on atmospheric environmental quality in a gas-flaring community: application of fuzzy logic modelling concept.

Environmental science and pollution research international May 24, 2018
We present a modelling concept for evaluating the impacts of anthropogenic activities suspected to be from gas flaring on the quality of the atmosphere using domestic roof-harvested rainwater (DRHRW) as indicator. We analysed seven metals (Cu, Cd, Pb...
Oil and Gas Fields Water Quality Environment Atmosphere Metals Models, Theoretical Environmental Monitoring Fresh Water Air Pollution Water Pollutants, Chemical Fuzzy Logic Humans Nigeria
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A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method.

Computational intelligence and neuroscience Nov 9, 2017
Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collec...
Water Resources Factor Analysis, Statistical Weather Water Supply Forecasting Machine Learning Regression Analysis Water Algorithms Environment Design Taiwan Time Factors Fresh Water
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Specific chemiluminescent protocol for dual-site recognition of Streptococcus mutans utilizing strong affinity between teicoplanin and Gram-positive bacteria.

Talanta Nov 6, 2017
A novel dual-site recognition protocol was developed for chemiluminescent (CL) detection of Streptococcus mutans (S. mutans) based on a designed antibiotic-affinity strategy. Teicoplanin, a broad-spectrum antibiotic against Gram-positive bacteria, wa...
Teicoplanin Horseradish Peroxidase Protein Binding Iodobenzenes Rats Humans Immunoglobulin G Luminescent Measurements Dipeptides Fresh Water Animals Luminol Anti-Bacterial Agents Milk Hydrogen Peroxide Streptococcus mutans Limit of Detection Cell Wall Saliva Magnetite Nanoparticles Bacterial Proteins
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Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea.

The Science of the total environment Sep 19, 2014
Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a waterbody, such as algal blooms that degrade the water quality in lakes, reservoirs and estuaries. In this study, artificial neural network (ANN) and support vecto...
Neural Networks, Computer Artificial Intelligence Republic of Korea Fresh Water Models, Chemical Environmental Monitoring Water Pollutants, Chemical Chlorophyll Water Pollution, Chemical Chlorophyll A Estuaries
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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...
Image Processing, Computer-Assisted Fresh Water Microscopy Diatoms Deep Learning
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