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Query Processing the Heterogeneous Information Sources using Ontology-based Approach.

, , , and . CATA, page 438-441. ISCA, (2003)

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3D convolutional recurrent neural networks for bird sound detection., , and . DCASE, page 108-112. (2018)Using Autoencoders to Visualize Big Environmental Audio., , , and . IV, page 13-18. IEEE, (2023)Listening to Save Wildlife: Lessons Learnt from Use of Acoustic Technology by a Species Recovery Team., , , and . Conference on Designing Interactive Systems, page 1335-1348. ACM, (2019)Co-designing technologies for citizen scientist engagement & saving species., , , and . OZCHI, page 651-653. ACM, (2017)Catching Toad Calls in the Cloud: Commodity Edge Computing for Flexible Analysis of Big Sound Data., , , and . eScience, page 67-74. IEEE Computer Society, (2018)Ecology Meets Computer Science: Designing Tools to Reconcile People, Data, and Practices., , , , and . CHI, page 1-13. ACM, (2020)Social Network Analysis of an Acoustic Environment: The Use of Visualised Data to Characterise Natural Habitats., , , , and . DICTA, page 1-7. IEEE, (2019)Reframing the design of context-aware computing., , , and . BCS HCI, page 52-57. ACM, (2011)Analyzing Big Environmental Audio with Frequency Preserving Autoencoders., , , and . e-Science, page 70-79. IEEE, (2021)Query Processing the Heterogeneous Information Sources using Ontology-based Approach., , , and . CATA, page 438-441. ISCA, (2003)