AIMC Topic: Fresh Water

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Effects of prolonged oxytetracycline supplementation on freshwater stinging catfish (): a multi-biomarker approach.

Frontiers in immunology Dec 19, 2024
BACKGROUND: Aquaculture systems that sporadically depend on antibiotics can contribute to the development of adverse effects on the fish, microbial flora and the environment. This study sought to investigate the impacts of extended oxytetracycline su...
Liver Respiratory Burst Aquaculture Catfishes Fish Diseases Biomarkers Oxytetracycline Animals Dietary Supplements Anti-Bacterial Agents Fresh Water
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Detecting floating litter in freshwater bodies with semi-supervised deep learning.

Water research Sep 11, 2024
Researchers and practitioners have extensively utilized supervised Deep Learning methods to quantify floating litter in rivers and canals. These methods require the availability of large amount of labeled data for training. The labeling work is expen...
Deep Learning Supervised Machine Learning Rivers Environmental Monitoring Fresh Water
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Automated identification of aquatic insects: A case study using deep learning and computer vision techniques.

The Science of the total environment May 11, 2024
Deep learning techniques have recently found application in biodiversity research. Mayflies (Ephemeroptera), stoneflies (Plecoptera) and caddisflies (Trichoptera), often abbreviated as EPT, are frequently used for freshwater biomonitoring due to thei...
Deep Learning Ephemeroptera Environmental Monitoring Neural Networks, Computer Biodiversity Animals Fresh Water Insecta Aquatic Organisms
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Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine learning models.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 20, 2024
This study employs diverse machine learning models, including classic artificial neural network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional artificial neural network (EANN), to predict crucial parameters such as ...
Fresh Water Solar Energy Machine Learning Water Purification Sunlight Neural Networks, Computer
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A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit.

Environmental geochemistry and health Mar 14, 2024
Dissolved oxygen is one of the important comprehensive indicators of river water quality, which reflects the degree of pollution in the water body. Monitoring and predicting dissolved oxygen are an important tool for water quality management, which h...
Fresh Water Oxygen Neural Networks, Computer Water Quality Entropy
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Fluoranthene biotreatment using prominent freshwater microalgae: physiological responses of microalgae and artificial neural network modeling of the bioremoval process.

International journal of phytoremediation Dec 12, 2023
Due to the intensified industrial activities and other anthropogenic actions, contamination of polycyclic aromatic hydrocarbons (PAHs) has been growing at an alarming rate, turning in to a serious environmental concern. Bioremediation, as an eco-frie...
Water Pollutants, Chemical Fluorenes Neural Networks, Computer Fresh Water Biodegradation, Environmental Microalgae
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A freshwater algae classification system based on machine learning with StyleGAN2-ADA augmentation for limited and imbalanced datasets.

Water research Jul 26, 2023
Automated algae classification using machine learning is a more efficient and effective solution compared to manual classification, which can be tedious and time-consuming. However, the practical application of such a classification approach is restr...
Machine Learning Fresh Water
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Accurate image-based identification of macroinvertebrate specimens using deep learning-How much training data is needed?

PeerJ Aug 23, 2022
Image-based methods for species identification offer cost-efficient solutions for biomonitoring. This is particularly relevant for invertebrate studies, where bulk samples often represent insurmountable workloads for sorting, identifying, and countin...
Arthropods Biological Monitoring Deep Learning Fresh Water Neural Networks, Computer Animals
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Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics.

Biological cybernetics Nov 23, 2021
Facing the threat of rapidly worsening water quality, there is an urgent need to develop novel approaches of monitoring its global supplies and early detection of environmental fluctuations. Global warming, urban growth and other factors have threate...
Biosensing Techniques Fresh Water Robotics Dreissena Animals Ecosystem
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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 ...
Rivers Ecosystem Machine Learning Fresh Water Republic of Korea
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