Exploring the landscape of automated species identification apps: Development, promise, and user appraisal
Two decades ago, Gaston and O'Neill (2004) deliberated on why automated species
identification had not become widely employed. We no longer have to wonder: This AI …
identification had not become widely employed. We no longer have to wonder: This AI …
Multileveled ternary pattern and iterative ReliefF based bird sound classification
Birds may need to be identified for purposes such as environmental monitoring, follow-up,
and species detection in the ecological area. Automatic sound classifiers have been used to …
and species detection in the ecological area. Automatic sound classifiers have been used to …
Transound: Hyper-head attention transformer for birds sound recognition
Q Tang, L Xu, B Zheng, C He - Ecological Informatics, 2023 - Elsevier
Bird strikes in low-altitude areas can cause severe economic losses and endanger the lives
of airline passengers. Thus, it is necessary to drive away the corresponding birds, which …
of airline passengers. Thus, it is necessary to drive away the corresponding birds, which …
Acoustic features of vocalization signal in poultry health monitoring
In precision livestock farming, studies show that bird sound can be employed as a biomarker
of health condition. One of the most important steps for this purpose is to study the feasibility …
of health condition. One of the most important steps for this purpose is to study the feasibility …
Research progress in bird sounds recognition based on acoustic monitoring technology: A systematic review
D Liu, H **ao, K Chen - Applied Acoustics, 2025 - Elsevier
Bird sound contains rich ecological information, and its related research results can be
applied to animal behavior analysis, natural information collection and ecological …
applied to animal behavior analysis, natural information collection and ecological …
Comprehensive bird preservation at wind farms
Wind as a clean and renewable energy source has been used by humans for centuries.
However, in recent years with the increase in the number and size of wind turbines, their …
However, in recent years with the increase in the number and size of wind turbines, their …
Image classification with multi-view multi-instance metric learning
Image classification is a critical and meaningful task in image retrieval, recognition and
object detection. In this paper, three-side efforts are taken to accomplish this task. First …
object detection. In this paper, three-side efforts are taken to accomplish this task. First …
[HTML][HTML] Multi-view features fusion for birdsong classification
S **e, J Lu, J Liu, Y Zhang, D Lv, X Chen, Y Zhao - Ecological Informatics, 2022 - Elsevier
Since birds are members of ecosystem which can be assumed as monitors of ecological
environment. Bird recognition, especially birdsong recognition, has attracted more and more …
environment. Bird recognition, especially birdsong recognition, has attracted more and more …
Bird sound classification based on ECOC-SVM
X Han, J Peng - Applied Acoustics, 2023 - Elsevier
Birds are an important part of the ecosystem. Knowing the number of existing bird species is
important for maintaining ecological balance. The sounds of birds contain rich biological …
important for maintaining ecological balance. The sounds of birds contain rich biological …
AMResNet: An automatic recognition model of bird sounds in real environment
H **ao, D Liu, K Chen, M Zhu - Applied Acoustics, 2022 - Elsevier
Birds are biological indicators reflecting environmental quality and its changes, so ecologists
devote a great deal of attention to monitor their population trends. Automated acoustic …
devote a great deal of attention to monitor their population trends. Automated acoustic …