AIMC Topic: Birds

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Enhancing occluded and standard bird object recognition using fuzzy-based ensembled computer vision approach with convolutional neural network.

Scientific reports Jul 1, 2025
Classifying bird species is essential for ecological study and biodiversity protection, currently, conventional approaches are frequently laborious and susceptible to mistakes. Convolutional Neural Networks (CNNs) provide a more reliable option for f...
Neural Networks, Computer Image Processing, Computer-Assisted Fuzzy Logic Pattern Recognition, Automated Animals Birds Convolutional Neural Networks
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Semen collection, semen analysis and artificial insemination in the kākāpō (Strigops habroptilus) to support its conservation.

PloS one May 9, 2025
The critically endangered kākāpō (Strigops habroptilus) has suffered population declines due to habitat loss, hunting, and predation. Conservation efforts, including translocation to predator-free islands, have helped increase numbers of this flightl...
Spermatozoa Male Insemination, Artificial Female Fertility Birds Animals Endangered Species Conservation of Natural Resources Semen Analysis
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Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework.

Scientific reports May 3, 2025
The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish ...
Flight, Animal Unmanned Aerial Devices Birds Deep Learning Motion Neural Networks, Computer Animals
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Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment.

BMC genomics Apr 23, 2025
BACKGROUND: Influenza A virus (IAV) is a major global health threat, causing seasonal epidemics and occasional pandemics. Particularly, Influenza A viruses from avian species pose significant zoonotic threats, with PB2 adaptation serving as a critica...
Humans Mutation Viral Proteins Zoonoses RNA-Dependent RNA Polymerase Influenza in Birds Machine Learning Birds Animals Influenza A virus Risk Assessment
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Delayed flowering phenology of red-flowering plants in response to hummingbird migration.

Current biology : CB Apr 14, 2025
The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent, and reward. The multi-dimensional response to selection to optimize pollination has generated correlated suites of these floral traits across distan...
Flowers Pollination Magnoliopsida Birds Color Animals Animal Migration Seasons Pigmentation North America
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills.

PLoS computational biology Mar 17, 2025
Data on the three dimensional shape of organismal morphology is becoming increasingly available, and forms part of a new revolution in high-throughput phenomics that promises to help understand ecological and evolutionary processes that influence phe...
Artificial Intelligence Animals Computational Biology Beak Birds Deep Learning Imaging, Three-Dimensional
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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 Conservation of Natural Resources Humans Machine Learning Animals 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 ...
Image Processing, Computer-Assisted Birds Humans New Mexico Animals, Wild Ducks Reproducibility of Results Deep Learning Animals
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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 ...
Urbanization Cities Biodiversity Conservation of Natural Resources Birds China Machine Learning Animals Ecosystem
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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...
Biomimetics Locomotion Air Extremities Flight, Animal Wings, Animal Walking Biomechanical Phenomena Gait Animals Robotics Motion Birds Aircraft
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