AIMC Topic: Birds

Clear Filters Showing 51 to 60 of 91 articles

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...
Movement Ursidae Insecta Software Behavior, Animal Female Animals Birds Deep Learning Mice Neural Networks, Computer
View on PubMed DOI

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 Models, Theoretical Fuzzy Logic Uncertainty Ecosystem Birds Water
View on PubMed DOI

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...
Temperature Nesting Behavior Machine Learning Animals Ecological and Environmental Phenomena Birds Software
View on PubMed DOI

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...
Wings, Animal Uncertainty Flight, Animal Birds Models, Theoretical Computer Simulation Robotics Aircraft Biomimetics Wind Nonlinear Dynamics Animals
View on PubMed DOI

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...
Birds Phylogeny Deep Learning Machine Learning Animals Pattern Recognition, Automated Classification Neural Networks, Computer
View on PubMed DOI

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...
Animals Birds Phylogeny Neural Networks, Computer Biological Evolution Dinosaurs Age Factors Skull
View on PubMed DOI

Trunk pitch oscillations for energy trade-offs in bipedal running birds and robots.

Bioinspiration & biomimetics Mar 31, 2020
Bipedal animals have diverse morphologies and advanced locomotion abilities. Terrestrial birds, in particular, display agile, efficient, and robust running motion, in which they exploit the interplay between the body segment masses and moment of iner...
Animals Birds Robotics Models, Biological Locomotion Computer Simulation Biomechanical Phenomena
View on PubMed DOI

Robust sound event detection in bioacoustic sensor networks.

PloS one Oct 24, 2019
Bioacoustic sensors, sometimes known as autonomous recording units (ARUs), can record sounds of wildlife over long periods of time in scalable and minimally invasive ways. Deriving per-species abundance estimates from these sensors requires detection...
Signal Processing, Computer-Assisted Acoustics Vocalization, Animal Animals Echolocation Neural Networks, Computer Birds Flight, Animal Reproducibility of Results Noise
View on PubMed DOI

Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses.

Transboundary and emerging diseases Aug 19, 2019
Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird popula...
Disease Reservoirs United States Population Surveillance Polymerase Chain Reaction Birds Machine Learning Animals, Wild Animals Influenza in Birds Artificial Intelligence
View on PubMed DOI

Quadrotor Identification through the Cooperative Particle Swarm Optimization-Cuckoo Search Approach.

Computational intelligence and neuroscience Jul 24, 2019
This paper explores the model parameters estimation of a quadrotor UAV by exploiting the cooperative particle swarm optimization-cuckoo search (PSO-CS). The PSO-CS regulates the convergence velocity benefiting from the capabilities of social thinking...
Animals Artificial Intelligence Birds Nonlinear Dynamics Models, Theoretical Algorithms Behavior, Animal Computer Simulation
View on PubMed DOI
Popular Topics
Recent Journals