AIMC Topic: Birds

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Universal probabilistic programming offers a powerful approach to statistical phylogenetics.

Communications biology Feb 24, 2021
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi...
Phylogeny Models, Statistical Data Interpretation, Statistical Software Animals Birds Monte Carlo Method Biostatistics Biological Evolution Bayes Theorem Programming Languages Probability Artificial Intelligence
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Domain randomization-enhanced deep learning models for bird detection.

Scientific reports Jan 12, 2021
Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the d...
Deep Learning Weather Random Allocation Environment Animal Migration Animals Birds
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Machine learning enables improved runtime and precision for bio-loggers on seabirds.

Communications biology Oct 30, 2020
Unravelling the secrets of wild animals is one of the biggest challenges in ecology, with bio-logging (i.e., the use of animal-borne loggers or bio-loggers) playing a pivotal role in tackling this challenge. Bio-logging allows us to observe many aspe...
Video Recording Behavior, Animal Geographic Information Systems Machine Learning Environmental Monitoring Animals Monitoring, Physiologic Birds
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Scalable classification of organisms into a taxonomy using hierarchical supervised learners.

Journal of bioinformatics and computational biology Oct 29, 2020
Accurately identifying organisms based on their partially available genetic material is an important task to explore the phylogenetic diversity in an environment. Specific fragments in the DNA sequence of a living organism have been defined as DNA ba...
Classification Chiroptera Rodentia Ferns Databases, Genetic Fungi DNA Barcoding, Taxonomic Deep Learning Support Vector Machine Algorithms Animals Birds Phylogeny
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Deep learning-assisted comparative analysis of animal trajectories with DeepHL.

Nature communications Oct 20, 2020
A comparative analysis of animal behavior (e.g., male vs. female groups) has been widely used to elucidate behavior specific to one group since pre-Darwinian times. However, big data generated by new sensing technologies, e.g., GPS, makes it difficul...
Deep Learning Mice Insecta Female Animals Birds Behavior, Animal Movement Ursidae Neural Networks, Computer Software
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Optimization of Ecological Water Supplement Scheme for Improved Suitable Habitat Area for Rare Migratory Birds in Nature Reserves Using Interval-Parameter Fuzzy Two-Stage Stochastic Programming Model.

International journal of environmental research and public health Oct 17, 2020
The optimization of ecological water supplement scheme in Momoge National Nature Reserve (MNNR), using an interval-parameter two-stage stochastic programming model (IPTSP), still experiences problems with fuzzy uncertainties and the wide scope of the...
Animals Ecosystem Birds Uncertainty Water Models, Theoretical Fuzzy Logic
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Applications of machine learning in behavioral ecology: Quantifying avian incubation behavior and nest conditions in relation to environmental temperature.

PloS one Aug 28, 2020
In the age of machine learning, building programs that take advantage of the speed and specificity of algorithm development can greatly aid efforts to quantify and interpret changes in animal behavior in response to abiotic environmental factors, lik...
Nesting Behavior Ecological and Environmental Phenomena Temperature Machine Learning Animals Software Birds
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Dynamic performances of a bird-like flapping wing robot under randomly uncertain disturbances.

PloS one May 5, 2020
The nonlinear dynamics of a bird-like flapping wing robot under randomly uncertain disturbances was studied in this study. The bird-like flapping wing robot was first simplified into a two-rod model with a spring connection. Then, the dynamic model o...
Biomimetics Nonlinear Dynamics Uncertainty Models, Theoretical Robotics Aircraft Computer Simulation Flight, Animal Wings, Animal Wind Animals Birds
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TMTCPT: The Tree Method based on the Taxonomic Categorization and the Phylogenetic Tree for fine-grained categorization.

Bio Systems Apr 28, 2020
Fine-grained categorization is one of the most challenging problems in machine vision. Recently, the presented methods have been based on convolutional neural networks, increasing the accuracy of classification very significantly. Inspired by these m...
Classification Phylogeny Deep Learning Pattern Recognition, Automated Machine Learning Animals Birds Neural Networks, Computer
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Birds have peramorphic skulls, too: anatomical network analyses reveal oppositional heterochronies in avian skull evolution.

Communications biology Apr 24, 2020
In contrast to the vast majority of reptiles, the skulls of adult crown birds are characterized by a high degree of integration due to bone fusion, e.g., an ontogenetic event generating a net reduction in the number of bones. To understand this proce...
Birds Phylogeny Age Factors Skull Biological Evolution Dinosaurs Neural Networks, Computer Animals
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