AIMC Topic: Birds

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Predictiveness and drivers of highly pathogenic avian influenza outbreaks in Europe.

Scientific reports Jul 17, 2025
Avian Influenza (AI) outbreaks are on an increasing trajectory. This disease carries a substantial economic burden, resulting in considerable losses to farmers with profound impacts on economies. As the outbreaks continue in birds and other unusual h...
Humans Machine Learning Animals Disease Outbreaks Poultry Influenza in Birds Europe Birds Seasons
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A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden.

Scientific data Jul 10, 2025
Bird species occurrence datasets are a valuable resource for understanding the effects of urbanization on various biotic conditions (e.g., species occupancy and richness). Existing datasets offer promising opportunities to explore variations among ci...
Machine Learning Sweden Animals Cities Birds Urbanization
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An improved lightweight method based on EfficientNet for birdsong recognition.

Scientific reports Jul 3, 2025
In the context of birdsong recognition, conventional modeling approaches often involve a significant number of parameters and high computational costs, rendering them unsuitable for deployment in embedded field monitoring devices. To improve the conv...
Neural Networks, Computer Vocalization, Animal Birds Algorithms Convolutional Neural Networks Animals Pattern Recognition, Automated
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Exploring the spatiotemporal influence of climate on American avian migration with random forests.

Scientific reports Jul 1, 2025
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timings, but anthropogenic global warming has affected these long-establish cycles. Understanding these dynamics is critical for conservation during a chan...
Animal Migration Climate Change Climate Birds Spatio-Temporal Analysis Random Forest Forests Seasons Machine Learning Animals
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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 Animals Fuzzy Logic Pattern Recognition, Automated Birds Convolutional Neural Networks Image Processing, Computer-Assisted
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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...
Male Spermatozoa Endangered Species Female Fertility Birds Insemination, Artificial Animals 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 ...
Unmanned Aerial Devices Motion Flight, Animal Neural Networks, Computer Animals Birds Deep Learning
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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 Influenza A virus Machine Learning Zoonoses Mutation Animals Influenza in Birds RNA-Dependent RNA Polymerase Viral Proteins Risk Assessment Birds
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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...
Color Seasons Pigmentation Animals Flowers Pollination North America Birds Magnoliopsida Animal Migration
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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...
Beak Deep Learning Imaging, Three-Dimensional Computational Biology Animals Birds Artificial Intelligence
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