AIMC Topic: Fishes

Clear Filters Showing 41 to 50 of 176 articles

Bio-inspired compensatory strategies for damage to flapping robotic propulsors.

Journal of the Royal Society, Interface Jul 3, 2024
Natural swimmers and flyers can fully recover from catastrophic propulsor damage by altering stroke mechanics: some fish can lose even 76% of their propulsive surface without loss of thrust. We consider applying these principles to enable robotic fla...
Biomechanical Phenomena Animals Fishes Insecta Swimming Robotics Models, Biological
View on PubMed DOI

Quantifying the biomimicry gap in biohybrid robot-fish pairs.

Bioinspiration & biomimetics Jun 28, 2024
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from sim...
Fishes Animals Social Behavior Biomimetics Neural Networks, Computer Robotics Behavior, Animal Computer Simulation Models, Biological
View on PubMed DOI

Rapid identification and quantitative analysis of malachite green in fish via SERS and 1D convolutional neural network.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 13, 2024
Rapid and quantitative detection of malachite green (MG) in aquaculture products is very important for safety assurance in food supply. Here, we develop a point-of-care testing (POCT) platform that combines a flexible and transparent surface-enhanced...
Animals Spectrum Analysis, Raman Food Contamination Neural Networks, Computer Silver Fishes Rosaniline Dyes Metal Nanoparticles Limit of Detection
View on PubMed DOI

A novel fish individual recognition method for precision farming based on knowledge distillation strategy and the range of the receptive field.

Journal of fish biology Jun 9, 2024
With the continuous development of green and high-quality aquaculture technology, the process of industrialized aquaculture has been promoted. Automation, intelligence, and precision have become the future development trend of the aquaculture industr...
Fishes Animals Neural Networks, Computer Aquaculture
View on PubMed DOI

An Integrated Smart Pond Water Quality Monitoring and Fish Farming Recommendation Aquabot System.

Sensors (Basel, Switzerland) Jun 6, 2024
The integration of cutting-edge technologies such as the Internet of Things (IoT), robotics, and machine learning (ML) has the potential to significantly enhance the productivity and profitability of traditional fish farming. Farmers using traditiona...
Fisheries Aquaculture Fishes Internet of Things Ponds Water Quality Animals Environmental Monitoring Support Vector Machine Machine Learning Algorithms
View on PubMed DOI

Forecasting fish mortality from water and air quality data using deep learning models.

Journal of environmental quality May 29, 2024
The high rate of aquatic mortality incidents recorded in Taiwan and worldwide is creating an urgent demand for more accurate fish mortality prediction. Present study innovatively integrated air and water quality data to measure water quality degradat...
Environmental Monitoring Taiwan Forecasting Fishes Animals Water Quality Bayes Theorem Deep Learning
View on PubMed DOI

A Fast Online Elastic-Spine-Based Stiffness Adjusting Mechanism for Fishlike Swimming.

Soft robotics Apr 22, 2024
Fish tunes fishtail stiffness by coordinating its tendons, muscles, and other tissues to improve swimming performance. For robotic fish, achieving a fast and online fishlike stiffness adjustment over a large-scale range is of great significance for p...
Fishes Swimming Elasticity Equipment Design Spine Animals Robotics Biomechanical Phenomena
View on PubMed DOI

Development of machine learning-based shelf-life prediction models for multiple marine fish species and construction of a real-time prediction platform.

Food chemistry Apr 10, 2024
At least 10 million tons of seafood products are spoiled or damaged during transportation or storage every year worldwide. Monitoring the freshness of seafood in real time has become especially important. In this study, four machine learning algorith...
Electronic Nose Animals Fishes Seafood Gas Chromatography-Mass Spectrometry Food Storage Machine Learning Temperature
View on PubMed DOI

Deep Learning-Based Fish Detection Using Above-Water Infrared Camera for Deep-Sea Aquaculture: A Comparison Study.

Sensors (Basel, Switzerland) Apr 10, 2024
Long-term, automated fish detection provides invaluable data for deep-sea aquaculture, which is crucial for safe and efficient seawater aquafarming. In this paper, we used an infrared camera installed on a deep-sea truss-structure net cage to collect...
Fishes Deep Learning Infrared Rays Neural Networks, Computer Animals Image Processing, Computer-Assisted Aquaculture
View on PubMed DOI

Bio-QSARs 2.0: Unlocking a new level of predictive power for machine learning-based ecotoxicity predictions by exploiting chemical and biological information.

Environment international Apr 4, 2024
Practical, legal, and ethical reasons necessitate the development of methods to replace animal experiments. Computational techniques to acquire information that traditionally relied on animal testing are considered a crucial pillar among these so-cal...
Animals Water Pollutants, Chemical Fishes Quantitative Structure-Activity Relationship Aquatic Organisms Machine Learning Invertebrates Algorithms Ecotoxicology
View on PubMed DOI
Popular Topics
Recent Journals