AIMC Topic: Fishes
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Edible aquatic robots with Marangoni propulsion.
Nature communications
May 7, 2025
Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing robots rely on artificial polymers and commercial electronic components, which can pollute and disrupt...
Swimming in the "Matrix": VR fish pass the Turing test using a simple control law for collective behavior.
Science robotics
Apr 30, 2025
Immersive virtual reality reveals that a simple control model from fish schooling can be used to control autonomous vehicles.
Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.
PLoS computational biology
Apr 28, 2025
Passive acoustic monitoring can offer insights into the state of coral reef ecosystems at low-costs and over extended temporal periods. Comparison of whole soundscape properties can rapidly deliver broad insights from acoustic data, in contrast to de...
An interpretable approach to estimate the self-motion in fish-like robots using mode decomposition analysis.
Nature communications
Apr 24, 2025
The artificial lateral line system, composed of velocity and pressure sensors, is the sensing system for fish-like robots by mimicking the lateral line system of aquatic organisms. However, accurately estimating the self-motion of the fish-like robot...
Assessment of POPs in foods from western China: Machine learning insights into risk and contamination drivers.
Environment international
Apr 11, 2025
Persistent organic pollutants (POPs), including PCDD/Fs, PCBs, and PBDEs, are major environmental and food safety concerns due to their bioaccumulative and toxic properties. However, comprehensive research on the concentrations and influencing factor...
A Review of In Silico Approaches for Discovering Natural Viral Protein Inhibitors in Aquaculture Disease Control.
Journal of fish diseases
Mar 20, 2025
Viral diseases pose a significant threat to the sustainability of global aquaculture, causing economic losses and compromising food security. Traditional control methods often demonstrate limited effectiveness, highlighting the need for alternative a...
Antioxidant activity of Mentha piperita phenolics on arsenic induced oxidative stress, biochemical alterations, and cyto-genotoxicity in fish, Channa punctatus.
Fish physiology and biochemistry
Mar 20, 2025
The study aims to investigate the synergistic antioxidant effects of the phenolics present in Mentha piperita (MP) against arsenic trioxide-induced oxidative stress, biochemical alteration, and cyto-genotoxicity in the fish, Channa punctatus. The phe...
Deep-learning-assisted chemo-responsive alizarin red S-based hydrogel sensor for the rapid freshness sensing of aquatic product.
Food research international (Ottawa, Ont.)
Mar 15, 2025
Rapid detection of freshness particularly in aquatic products demands efficient sensing strategies. Here, a novel deep-learning-assisted chemo-responsive alizarin red S-based hydrogel sensing platform was established for rapid freshness assay of aqua...
Attention-enhanced and integrated deep learning approach for fishing vessel classification based on multiple features.
Scientific reports
Mar 13, 2025
Effective fisheries management is the key to achieve sustainable fisheries globally, while accurate monitoring of fishing vessels is essential to improve the effectiveness of management measures. Self-reported information on vessel types is often lim...
Prediction of acute toxicity of organic contaminants to fish: Model development and a novel approach to identify reactive substructures.
Journal of hazardous materials
Mar 12, 2025
In this study, count-based Morgan fingerprints (CMF) were employed to represent the fundamental chemical structures of contaminants, and a neural network model (R² = 0.76) was developed to predict acute fish toxicity (AFT) of organic compounds. Model...
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