AIMC Topic: Fishes

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Robot motor learning shows emergence of frequency-modulated, robust swimming with an invariant Strouhal number.

Journal of the Royal Society, Interface Mar 27, 2024
Fish locomotion emerges from diverse interactions among deformable structures, surrounding fluids and neuromuscular activations, i.e. fluid-structure interactions (FSI) controlled by fish's motor systems. Previous studies suggested that such motor-co...
Biomechanical Phenomena Animals Swimming Locomotion Robotics Fishes
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Integration of lanthanide MOFs/methylcellulose-based fluorescent sensor arrays and deep learning for fish freshness monitoring.

International journal of biological macromolecules Mar 20, 2024
Preserving fish meat poses a significant challenge due to its high protein and low fat content. This study introduces a novel approach that utilizes a common type of lanthanide metal-organic frameworks (Ln-MOFs), EuMOFs, in combination with 5-fluores...
Fluorescein-5-isothiocyanate Isothiocyanates Lanthanoid Series Elements Coloring Agents Fishes Animals Fluorescein Deep Learning
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Predicting the long-term collective behaviour of fish pairs with deep learning.

Journal of the Royal Society, Interface Mar 6, 2024
Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess soc...
Machine Learning Motion Fishes Animals Mass Behavior Deep Learning
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Fast-Swimming Soft Robotic Fish Actuated by Bionic Muscle.

Soft robotics Feb 26, 2024
Soft underwater swimming robots actuated by smart materials have unique advantages in exploring the ocean, such as low noise, high flexibility, and friendly environment interaction ability. However, most of them typically exhibit limited swimming spe...
Biomimetics Swimming Equipment Design Fishes Bionics Biomimetic Materials Muscles Biomechanical Phenomena Animals Robotics
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Effect of Light-Emitting Grid Panel on Indoor Aquaculture for Measuring Fish Growth.

Sensors (Basel, Switzerland) Jan 28, 2024
This study is related to Smart Aqua Farm, which combines artificial intelligence (AI) and Internet of things (IoT) technology. This study aimed to monitor fish growth in indoor aquaculture while automatically measuring the average size and area in re...
Fishes Computer Systems Aquaculture Humans Technology Artificial Intelligence Animals
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Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species.

Biomolecules Dec 14, 2023
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in the...
Aquaculture Bone Diseases Fishes Animals Artificial Intelligence Diet
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A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy.

Sensors (Basel, Switzerland) Nov 9, 2023
Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for fish species identification, such as DNA analysis and polymerase chain reaction (PCR), are expensive and time-consuming, and require skilled technicia...
Machine Learning Artificial Intelligence Dissent and Disputes Fishes Animals Spectrum Analysis
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The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots.

Journal of the Royal Society, Interface Oct 25, 2023
Collective behaviour defines the lives of many animal species on the Earth. Underwater swarms span several orders of magnitude in size, from coral larvae and krill to tunas and dolphins. Agent-based algorithms have modelled collective movements of an...
Perciformes Fishes Animals Robotics Schools Hydrodynamics
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A Survey of Deep Learning Techniques for Underwater Image Classification.

IEEE transactions on neural networks and learning systems Oct 5, 2023
In recent years, there has been an enormous interest in using deep learning to classify underwater images to identify various objects, such as fishes, plankton, coral reefs, seagrass, submarines, and gestures of sea divers. This classification is ess...
Coral Reefs Deep Learning Fishes Neural Networks, Computer Animals Ecosystem Humans
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Fish-inspired robotic algorithm: mimicking behaviour and communication of schooling fish.

Bioinspiration & biomimetics Sep 27, 2023
This study aims to present a novel flocking algorithm for robotic fish that will aid the study of fish in their natural environment. The algorithm, fish-inspired robotic algorithm (FIRA), amalgamates the standard flocking behaviors of attraction, ali...
Robotics Schools Communication Fishes Algorithms Animals Computer Simulation
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