AIMC Topic: Aquatic Organisms

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Bioactive Molecules from the Innate Immunity of Ascidians and Innovative Methods of Drug Discovery: A Computational Approach Based on Artificial Intelligence.

Marine drugs Dec 20, 2023
The study of bioactive molecules of marine origin has created an important bridge between biological knowledge and its applications in biotechnology and biomedicine. Current studies in different research fields, such as biomedicine, aim to discover m...
Urochordata Aquatic Organisms Humans Artificial Intelligence Animals Drug Discovery Biological Products
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Investigation of machine learning algorithms for taxonomic classification of marine metagenomes.

Microbiology spectrum Sep 11, 2023
Taxonomic profiling of microbial communities is essential to model microbial interactions and inform habitat conservation. This work develops approaches in constructing training/testing data sets from publicly available marine metagenomes and evaluat...
Neural Networks, Computer Microbiota Classification Metagenome Machine Learning Models, Biological Aquatic Organisms
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A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video.

Sensors (Basel, Switzerland) Mar 21, 2023
The utilization of stationary underwater cameras is a modern and well-adapted approach to provide a continuous and cost-effective long-term solution to monitor underwater habitats of particular interest. A common goal of such monitoring systems is to...
Environment Bays Aquatic Organisms Animals Fishes Deep Learning
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RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2022
The abuse of traditional antibiotics has led to an increase in the resistance of bacteria and viruses. Similar to the function of antibacterial peptides, bacteriocins are more common as a kind of peptides produced by bacteria that have bactericidal o...
Bacteria Sequence Analysis, DNA Aquatic Organisms Bacteriocins Anti-Bacterial Agents Peptides Neural Networks, Computer Drug Discovery
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A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis.

PloS one Feb 2, 2022
Understanding long-term trends in marine ecosystems requires accurate and repeatable counts of fishes and other aquatic organisms on spatial and temporal scales that are difficult or impossible to achieve with diver-based surveys. Long-term, spatiall...
Machine Learning Animals Ecosystem Fishes Species Specificity Photography Image Processing, Computer-Assisted Population Dynamics Aquatic Organisms Coral Reefs
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Advantages of aquatic animals as models for bio-inspired drones over present AUV technology.

Bioinspiration & biomimetics Feb 7, 2020
Robotic systems are becoming more ubiquitous, whether on land, in the air, or in water. In the aquatic realm, aquatic drones including ROVs (remotely operated vehicles) and AUVs (autonomous underwater vehicles) have opened new opportunities to invest...
Models, Animal Equipment Failure Analysis Remote Sensing Technology Equipment Design Aquatic Organisms Biomimetics Swimming Computer Simulation Animals Robotics
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Antitubercular metabolites from the marine-derived fungus strain MF029.

Natural product research Sep 6, 2019
During the systematic screening of bioactive compounds from our marine natural product library, crude extract of the marine-derived fungus strain MF029 exhibited moderate bioactivities against , S, methicillin-resistant , and bacillus Calmette-Guér...
Aquatic Organisms Aspergillus fumigatus Microbial Sensitivity Tests Biological Products Antitubercular Agents
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On the impact of Citizen Science-derived data quality on deep learning based classification in marine images.

PloS one Jun 12, 2019
The evaluation of large amounts of digital image data is of growing importance for biology, including for the exploration and monitoring of marine habitats. However, only a tiny percentage of the image data collected is evaluated by marine biologists...
Mollusca Imaging, Three-Dimensional Echinodermata Humans Image Processing, Computer-Assisted Marine Biology Porifera Arthropods Animals Aquatic Organisms Citizen Science Deep Learning Cnidaria
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Soft-sensing method based on FDLS-SVM in marine alkaline protease fermentation process.

Preparative biochemistry & biotechnology May 27, 2019
To overcome the problem that soft-sensing model cannot be updated with the bioprocess changes, this article proposed a soft-sensing modeling method which combined fuzzy c-means clustering (FCM) algorithm with least squares support vector machine theo...
Endopeptidases Fermentation Least-Squares Analysis Algorithms Bioreactors Equipment Design Bacteria Bacterial Proteins Models, Biological Support Vector Machine Aquatic Organisms
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A Dexterous, Glove-Based Teleoperable Low-Power Soft Robotic Arm for Delicate Deep-Sea Biological Exploration.

Scientific reports Oct 3, 2018
Modern marine biologists seeking to study or interact with deep-sea organisms are confronted with few options beyond industrial robotic arms, claws, and suction samplers. This limits biological interactions to a subset of "rugged" and mostly immotile...
Humans Ecosystem Robotics Coral Reefs Marine Biology Aquatic Organisms Biodiversity Seawater
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