AIMC Topic: Birds
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Temporal insights into ecological community: Advancing waterbird monitoring with dome camera and deep learning.
Journal of environmental management
Jul 1, 2025
Biodiversity monitoring is critical for conservation and management. However, efficient species monitoring is often hindered by the complexities of ecological dynamics and the constraints of conventional techniques. This study presents an automated o...
Comparing point counts, passive acoustic monitoring, citizen science and machine learning for bird species monitoring in the Mount Kenya ecosystem.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 12, 2025
Biodiversity loss is a pressing challenge, with ecosystems across the world under threat from factors such as human encroachment, over exploitation and climate change. It is important to increase ecosystem monitoring efforts to provide actionable ins...
Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 12, 2025
Machine learning has the potential to revolutionize passive acoustic monitoring (PAM) for ecological assessments. However, high annotation and computing costs limit the field's adoption. Generalizable pretrained networks can overcome these costs, but...
A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.
Food research international (Ottawa, Ont.)
Jun 1, 2025
Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses significant environmental and health risks. This study quantified 15 PFAS compounds across various tissues (liver, kidney, gill, muscle, skin, lung, b...
Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification.
Scientific reports
May 9, 2025
Animal sounds can be recognised automatically by machine learning, and this has an important role to play in biodiversity monitoring. Yet despite increasingly impressive capabilities, bioacoustic species classifiers still exhibit imbalanced performan...
Aerial Wildlife Image Repository for animal monitoring with drones in the age of artificial intelligence.
Database : the journal of biological databases and curation
Jul 23, 2024
Drones (unoccupied aircraft systems) have become effective tools for wildlife monitoring and conservation. Automated animal detection and classification using artificial intelligence (AI) can substantially reduce logistical and financial costs and im...
Open set classification strategies for long-term environmental field recordings for bird species recognition.
The Journal of the Acoustical Society of America
Jun 1, 2022
Deep learning is one established tool for carrying out classification tasks on complex, multi-dimensional data. Since audio recordings contain a frequency and temporal component, long-term monitoring of bioacoustics recordings is made more feasible w...
A novel reassortant avian influenza H4N6 virus isolated from an environmental sample during a surveillance in Maharashtra, India.
The Indian journal of medical research
Jun 1, 2021
BACKGROUND & OBJECTIVES: Low pathogenic avian influenza (LPAI) viruses cause mild clinical illness in domestic birds. Migratory birds are a known reservoir for all subtypes of avian influenza (AI) viruses. The objective of the study was to characteri...
A guide to machine learning for bacterial host attribution using genome sequence data.
Microbial genomics
Dec 1, 2019
With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generated from both diagnostic and research laboratories for the foreseeable future, then there is both an o...
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