Bird identification and classification are of great significance in bird conservation. Through
proper bird classification, the changes in bird populations in a given area can be effectively …

Studies related to bird species identification, movements, and behavior are important for
protecting the environment and measuring biodiversity, especially for ornithological …

Efficient and accurate bird sound classification is of important for ecology, habitat protection
and scientific research, as it plays a central role in monitoring the distribution and …

The rapid advancement of deep learning has generated considerable enthusiasm regarding
its utilization in addressing medical imaging issues. Machine learning (ML) methods can …

Automatic individual recognition of wild Crested Ibis is challenged by two factors: the lack of
labeled data and an unpredictable number of individuals. In this paper, we propose a hybrid …

MobileFaceNet face recognition algorithm is a relatively mainstream face recognition
algorithm at present. Its advantages of small memory and fast running speed make it widely …

Monitoring animal populationsis one important matter to better understand changes in their
population, behavior, and biodiversity. Bird sounds are the main tool to classify bird species …

Penelitian ini mengekplorasi kemungkinan pemanfaatan teknologi edge machine learning
dalam hal rekognisi suara-suara burung hama yang bisa diaplikasikan pada mikrokontroller …

The sound recognition technology is used to count bird speciespopulation to provide
accurate data for population ecology and conservation biology research. Bird species can …

Birdwatching or Birding is observing or watching the birds which is found to be one of the
serene activities to do in daily life. But recognizing the bird species is hard for humans as it …