AIMC Topic: Birds

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Phylogenetic and Molecular Characteristics of Wild Bird-Origin Avian Influenza Viruses Circulating in Poland in 2018-2022: Reassortment, Multiple Introductions, and Wild Bird-Poultry Epidemiological Links.

Transboundary and emerging diseases Apr 12, 2024
Since 2020, a significant increase in the severity of H5N highly pathogenic avian influenza (HPAI) epidemics in poultry and wild birds has been observed in Poland. To further investigate the genetic diversity of HPAI H5N viruses of clade 2.3.4.4b, HP...
Poultry Diseases Poultry Poland Birds Influenza A virus Phylogeny Animals, Wild Animals Reassortant Viruses Influenza in Birds
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Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys.

PloS one Apr 3, 2024
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine...
Neural Networks, Computer Animals Deep Learning Birds Remote Sensing Technology Animals, Wild Workflow
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Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification.

Sensors (Basel, Switzerland) Apr 28, 2023
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the heal...
Neural Networks, Computer Algorithms Birds Heart Rate Humans Electrocardiography Animals Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation.

International journal of environmental research and public health Mar 10, 2023
The conservation of avian diversity plays a critical role in maintaining ecological balance and ecosystem function, as well as having a profound impact on human survival and livelihood. With species' continuous and rapid decline, information and inte...
Neural Networks, Computer Animals Conservation of Natural Resources Birds Biodiversity
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Metamorphic aerial robot capable of mid-air shape morphing for rapid perching.

Scientific reports Jan 23, 2023
Aerial robots can perch onto structures at heights to reduce energy use or to remain firmly in place when interacting with their surroundings. Like how birds have wings to fly and legs to perch, these bio-inspired aerial robots use independent perchi...
Mammals Extremities Marsupialia Sloths Birds Robotics Animals
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An at-scale tailless flapping wing hummingbird robot: II. Flight control in hovering and trajectory tracking.

Bioinspiration & biomimetics Jan 13, 2023
Flight control such as stable hovering and trajectory tracking of tailless flapping-wing micro aerial vehicles is a challenging task. Given the constraint on actuation capability, flight control authority is limited beyond sufficient lift generation....
Robotics Equipment Design Animals Birds Wings, Animal Models, Biological Flight, Animal Biomechanical Phenomena
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Opportunistic soaring by birds suggests new opportunities for atmospheric energy harvesting by flying robots.

Journal of the Royal Society, Interface Nov 23, 2022
The use of flying robots (drones) is increasing rapidly, but their utility is limited by high power demand, low specific energy storage and poor gust tolerance. By contrast, birds demonstrate long endurance, harvesting atmospheric energy in environme...
Flight, Animal Robotics Falconiformes Animals Birds Wind
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Bio-inspired flapping wing robots with foldable or deformable wings: a review.

Bioinspiration & biomimetics Nov 15, 2022
Traditional flapping-wing robots (FWRs) obtain lift and thrust by relying on the passive deformation of their wings which cannot actively fold or deform. In contrast, flying creatures such as birds, bats, and insects can maneuver agilely through acti...
Biomechanical Phenomena Birds Flight, Animal Robotics Animals Models, Biological Wings, Animal Chiroptera Feathers
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Fine-Grained Image Analysis With Deep Learning: A Survey.

IEEE transactions on pattern analysis and machine intelligence Nov 7, 2022
Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applications. The task of FGIA targets analyzing visual objects from subordinate catego...
Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Birds Deep Learning Animals
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A general deep learning model for bird detection in high-resolution airborne imagery.

Ecological applications : a publication of the Ecological Society of America Aug 10, 2022
Advances in artificial intelligence for computer vision hold great promise for increasing the scales at which ecological systems can be studied. The distribution and behavior of individuals is central to ecology, and computer vision using deep neural...
Neural Networks, Computer Artificial Intelligence Humans Birds Animals Deep Learning Ecosystem
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