AIMC Topic: Fishes

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Collective motion model inspired by fish school based on deep attention mechanism.

Bioinspiration & biomimetics
Collective intelligence in biological groups can be employed to inspire the control of artificial complex systems, such as swarm robotics. However, modeling for the social interactions between individuals is still a challenging task. Without loss of ...

Frontier research on the risk of spoilage microorganisms in refrigerated marine fish: From regional to global perspectives.

International journal of food microbiology
Microbial spoilage is creating safety risks and significant wastage of refrigerated marine fish. Spoilage microorganisms possess distinct physiological adaptations that enable them to contribute to the spoilage of refrigerated marine fish, thereby co...

BlueGuppy: tunable kinematics enables maneuverability in a minimalist fish-like robot.

Bioinspiration & biomimetics
Aquatic ecosystems vital to biodiversity and climate change-such as coral reefs, kelp forests, and mangrove forests-are often cluttered with natural obstacles. To navigate these complex habitats, fish have evolved relatively small body sizes and outs...

Identifying fish populations prone to abrupt shifts via dynamical footprint analysis.

Proceedings of the National Academy of Sciences of the United States of America
Fish population biomass fluctuates through time in ways that may be either gradual or abrupt. While abrupt shifts in fish population productivity have been shown to be common, they are rarely integrated into stock assessment or fishery management, in...

Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.

PloS one
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...

Little-to-no industrial fishing occurs in fully and highly protected marine areas.

Science (New York, N.Y.)
There is a widespread perception that illegal fishing is common in marine protected areas (MPAs) due to strong incentives for poaching and the high cost of monitoring and enforcement. Using artificial intelligence and satellite-based Earth observatio...

Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors.

Scientific reports
Seafood, including fish, prawns and various marine products, is a critical component of global nutrition due to its high protein content, essential fatty acids, vitamins and minerals. Traditional methods for assessing seafood freshness such as sensor...

Comparative analysis of autofluorescence spectra in a filet of three fish species during chilled storage for raw consumption.

Food chemistry
Recent advances in fish freshness evaluation rely on a combination of optical imaging and artificial intelligence due to their applicability to non-invasive and non-destructive measurements. Using trout salmon, red sea bream, and Japanese amberjack, ...

The intelligent evaluation model of the English humanistic landscape in agricultural industrial parks by the SPEAKING model: From the perspective of fish-vegetable symbiosis in new agriculture.

PloS one
To more accurately capture the expression of the English humanistic landscape in agricultural industrial parks under the emerging agricultural paradigm of fish-vegetable symbiosis, and to address the limitations of unscientific evaluation standards a...

Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...