AIMC Topic: Birds

Clear Filters Showing 41 to 50 of 95 articles

Adaptive Modular Convolutional Neural Network for Image Recognition.

Sensors (Basel, Switzerland) Jul 22, 2022
Image recognition has long been one of the research hotspots in computer vision tasks. The development of deep learning is rapid in recent years, and convolutional neural networks usually need to be designed with fixed resources. If sufficient resour...
Neural Networks, Computer Animals Dogs Cats Haplorhini Birds Image Processing, Computer-Assisted
View on PubMed DOI

Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.

Computational intelligence and neuroscience May 26, 2022
In today's world, diabetic retinopathy is a very severe health issue, which is affecting many humans of different age groups. Due to the high levels of blood sugar, the minuscule blood vessels in the retina may get damaged in no time and further may ...
Birds Deep Learning Retina Falconiformes Diabetes Mellitus Algorithms Animals Diabetic Retinopathy Machine Learning Humans
View on PubMed DOI

Running birds reveal secrets for legged robot design.

Science robotics Mar 16, 2022
Recapitulating avian locomotion opens the door for simple and economical control of legged robots without sensory feedback systems.
Animals Gait Birds Locomotion Running Robotics
View on PubMed DOI

BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching.

Science robotics Mar 16, 2022
Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locomotion with robust and minimalistic control. Sources of high energy costs in legged robots include the rapid loading and high forces required to suppor...
Leg Biomechanical Phenomena Gait Birds Animals Locomotion Robotics
View on PubMed DOI

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...
Animals Birds Machine Learning Algorithms Semantics Pattern Recognition, Automated Dogs Datasets as Topic
View on PubMed DOI

Comparing recurrent convolutional neural networks for large scale bird species classification.

Scientific reports Aug 24, 2021
We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species. We use spectrograms constructed on bird audio recordings from the Cornell Bird Challenge (CBC)2020 dataset, which i...
Animals Birds Vocalization, Animal Deep Learning
View on PubMed DOI

Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture.

Scientific reports Aug 3, 2021
The use of autonomous recordings of animal sounds to detect species is a popular conservation tool, constantly improving in fidelity as audio hardware and software evolves. Current classification algorithms utilise sound features extracted from the r...
Neural Networks, Computer Deep Learning Acoustics Animals Vocalization, Animal Sound Machine Learning Birds Algorithms
View on PubMed DOI

A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit.

Sensors (Basel, Switzerland) Jun 21, 2021
Flocks of birds may cause major damage to fruit crops in the ripening phase. This problem is addressed by various methods for bird scaring; in many cases, however, the birds become accustomed to the distraction, and the applied scaring procedure lose...
Neural Networks, Computer Birds Fruit Artificial Intelligence Animals
View on PubMed DOI

Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification.

Computational and mathematical methods in medicine May 11, 2021
For the low optimization accuracy of the cuckoo search algorithm, a new search algorithm, the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting and elite strategy. The EHBCS algorithm has been designed for feature ...
Classification Risk Factors Support Vector Machine Animals Humans Databases, Factual Pattern Recognition, Automated Birds Male Algorithms Female Computational Biology
View on PubMed DOI

Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge.

Sensors (Basel, Switzerland) Apr 16, 2021
Adopting effective techniques to automatically detect and identify small drones is a very compelling need for a number of different stakeholders in both the public and private sectors. This work presents three different original approaches that compe...
Algorithms Deep Learning Animals Motion Birds
View on PubMed DOI
Popular Topics
Recent Journals