AIMC Topic: Birds

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Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.

Molecular ecology resources Mar 7, 2025
The ability to assign biological samples to source populations with high accuracy and precision based on genetic variation is important for numerous applications from ecological studies through wildlife conservation to epidemiology. However, populati...
Animals Birds Computational Biology Genetics, Population Neural Networks, Computer Software
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Identifying the combined impact of human activities and natural factors on China's avian species richness using interpretable machine learning methods.

Journal of environmental management Feb 15, 2025
With human activities-derived escalating climate change and rapid urbanization, avian species face significant survival challenges. Understanding the impact of human activities and environmental drivers on avian species richness is critical for effec...
Human Activities Biodiversity Climate Change Humans Animals Machine Learning Conservation of Natural Resources Birds China
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

PloS one Jan 15, 2025
There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge ...
Birds Animals, Wild Deep Learning Image Processing, Computer-Assisted Humans Reproducibility of Results Animals New Mexico Ducks
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Exploring the impact of land use on bird diversity in high-density urban areas using explainable machine learning models.

Journal of environmental management Jan 11, 2025
Amid rapid urbanization, land use shifts in cities globally have profound effects on ecosystems and biodiversity. Birds, as a crucial component of urban biodiversity, are highly sensitive to environmental changes and often serve as indicator species ...
China Cities Animals Biodiversity Ecosystem Birds Machine Learning Conservation of Natural Resources Urbanization
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Fast ground-to-air transition with avian-inspired multifunctional legs.

Nature Dec 4, 2024
Most birds can navigate seamlessly between aerial and terrestrial environments. Whereas the forelimbs evolved into wings primarily for flight, the hindlimbs serve diverse functions such as walking, hopping and leaping, and jumping take-off for transi...
Extremities Flight, Animal Wings, Animal Biomimetics Locomotion Air Animals Biomechanical Phenomena Birds Robotics Gait Motion Aircraft Walking
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Bird-inspired reflexive morphing enables rudderless flight.

Science robotics Nov 20, 2024
Gliding birds lack a vertical tail, yet they fly stably rudderless in turbulence without needing discrete flaps to steer. In contrast, nearly all airplanes need vertical tails to damp Dutch roll oscillations and to control yaw. The few exceptions tha...
Wind Flight, Animal Biomechanical Phenomena Wings, Animal Aircraft Reflex Birds Animals Tail Biomimetics Robotics Biomimetic Materials Equipment Design
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The influence of neighbor selection on self-organized UAV swarm based on finite perception vision.

Bioinspiration & biomimetics Nov 14, 2024
Recently, vision-based unmanned aerial vehicle (UAV) swarming has emerged as a promising alternative that can overcome the adaptability and scalability limitations of distributed and communication-based UAV swarm systems. While most vision-based cont...
Monte Carlo Method Visual Perception Aircraft Models, Biological Biomimetics Algorithms Birds Robotics Computer Simulation Animals
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TSOM: Small object motion detection neural network inspired by avian visual circuit.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2024
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various ...
Algorithms Animals Neural Networks, Computer Visual Pathways Superior Colliculi Columbidae Birds Photic Stimulation Motion Perception Retina Neurons
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Utilizing machine learning and hemagglutinin sequences to identify likely hosts of influenza H3Nx viruses.

Preventive veterinary medicine Sep 26, 2024
Influenza is a disease that represents both a public health and agricultural risk with pandemic potential. Among the subtypes of influenza A virus, H3 influenza virus can infect many avian and mammalian species and is therefore a virus of interest to...
Swine Diseases Influenza in Birds Influenza A virus Dogs Swine Machine Learning Dog Diseases Birds Animals Orthomyxoviridae Infections Hemagglutinin Glycoproteins, Influenza Virus Influenza A Virus, H3N2 Subtype
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A Deep Learning Framework for Real-Time Bird Detection and Its Implications for Reducing Bird Strike Incidents.

Sensors (Basel, Switzerland) Aug 23, 2024
Bird strikes are a substantial aviation safety issue that can result in serious harm to aircraft components and even passenger deaths. In response to this increased tendency, the implementation of new and more efficient detection and prevention techn...
Aircraft Birds Neural Networks, Computer Airports Accidents, Aviation Deep Learning Algorithms Flight, Animal Animals Image Processing, Computer-Assisted
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