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The use of acoustic indices to determine avian species richness in audio-recordings of the environment

Ecological informatics, 2014-05, Vol.21, p.110-119

2014

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Sampling environmental acoustic recordings to determine bird species richness

Ecological applications, 2013-09, Vol.23 (6), p.1419-1428

2013

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Revealing the ecological content of long-duration audio-recordings of the environment through clustering and visualisation

PloS one, 2018-03, Vol.13 (3), p.e0193345-e0193345

2018

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A new method to estimate abundance of Australasian Bittern ( Botaurus poiciloptilus ) from acoustic recordings

Avian conservation and ecology, 2024-06, Vol.19 (1), p.16, Article art16

2024

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A practical comparison of manual and autonomous methods for acoustic monitoring

Methods in ecology and evolution, 2013-07, Vol.4 (7), p.675-683

2013

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The Australian Acoustic Observatory

Methods in ecology and evolution, 2021-10, Vol.12 (10), p.1802-1808

2021

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Assessing the potential of acoustic indices for protected area monitoring in the Serra do Cipó National Park, Brazil

Ecological indicators, 2021-01, Vol.120, p.106953, Article 106953

2021

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Eastern Black Rail detection using semi-automated analysis of long-duration acoustic recordings

Avian conservation and ecology, 2021-06, Vol.16 (1), p.1, Article art9

2021

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Adaptive frequency scaled wavelet packet decomposition for frog call classification

Ecological informatics, 2016-03, Vol.32, p.134-144

2016

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Classifying and ranking audio clips to support bird species richness surveys

Ecological informatics, 2016-07, Vol.34, p.108-116

2016

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Using a Novel Visualization Tool for Rapid Survey of Long-Duration Acoustic Recordings for Ecological Studies of Frog Chorusing

Frontiers in ecology and evolution, 2022-01, Vol.9

2022

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The Emergence of Subtle Organicism A Reply to Comments from M. Bussey, T. Dolan, W. Halal and T. Lombardo

Journal of Futures Studies, 2011-09, Vol.16 (1)

Michael Towsey

2011

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The Emergence of Subtle Organicism

Journal of Futures Studies, 2011-09, Vol.16 (1)

Michael Towsey

2011

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Application of image processing techniques for frog call classification

2015 IEEE International Conference on Image Processing (ICIP), 2015, p.4190-4194

2015

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Using soundscapes to detect variable degrees of human influence on tropical forests in Papua New Guinea

Conservation biology, 2018-02, Vol.32 (1), p.205-215

2018

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Automated species identification of frog choruses in environmental recordings using acoustic indices

Ecological indicators, 2020-12, Vol.119, p.106852, Article 106852

2020

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Acoustic monitoring reveals year-round calling by invasive toads in tropical Australia

Bioacoustics (Berkhamsted), 2021-03, Vol.30 (2), p.125-141

2021

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Assessing the value of acoustic indices to distinguish species and quantify activity: A case study using frogs

Freshwater biology, 2020-01, Vol.65 (1), p.142-152

2020

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Using multi-label classification for acoustic pattern detection and assisting bird species surveys

Applied acoustics, 2016-09, Vol.110, p.91-98

2016

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An intelligent system for estimating frog community calling activity and species richness

Ecological indicators, 2017-11, Vol.82, p.13-22

2017

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Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms

Applied acoustics, 2016-12, Vol.113, p.193-201

2016

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Frog call classification: a survey

The Artificial intelligence review, 2018-03, Vol.49 (3), p.375-391

2018

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Acoustic detection and acoustic habitat characterisation of the critically endangered white‐bellied heron ( Ardea insignis ) in Bhutan

Freshwater biology, 2020-01, Vol.65 (1), p.153-164

2020

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Analysing environmental acoustic data through collaboration and automation

Future generation computer systems, 2013-02, Vol.29 (2), p.560-568

2013

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Visualization of Long-duration Acoustic Recordings of the Environment

Procedia computer science, 2014, Vol.29, p.703-712

2014

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The use of acoustic indices to determine avian species richness in audio-recordings of the environment

Sampling environmental acoustic recordings to determine bird species richness

Revealing the ecological content of long-duration audio-recordings of the environment through clustering and visualisation

A new method to estimate abundance of Australasian Bittern ( Botaurus poiciloptilus ) from acoustic recordings

A practical comparison of manual and autonomous methods for acoustic monitoring

The Australian Acoustic Observatory

Assessing the potential of acoustic indices for protected area monitoring in the Serra do Cipó National Park, Brazil

Eastern Black Rail detection using semi-automated analysis of long-duration acoustic recordings

Adaptive frequency scaled wavelet packet decomposition for frog call classification

Classifying and ranking audio clips to support bird species richness surveys

Using a Novel Visualization Tool for Rapid Survey of Long-Duration Acoustic Recordings for Ecological Studies of Frog Chorusing

The Emergence of Subtle Organicism A Reply to Comments from M. Bussey, T. Dolan, W. Halal and T. Lombardo

The Emergence of Subtle Organicism

Application of image processing techniques for frog call classification

Using soundscapes to detect variable degrees of human influence on tropical forests in Papua New Guinea

Automated species identification of frog choruses in environmental recordings using acoustic indices

Acoustic monitoring reveals year-round calling by invasive toads in tropical Australia

Assessing the value of acoustic indices to distinguish species and quantify activity: A case study using frogs

Using multi-label classification for acoustic pattern detection and assisting bird species surveys

An intelligent system for estimating frog community calling activity and species richness

Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms

Frog call classification: a survey

Acoustic detection and acoustic habitat characterisation of the critically endangered white‐bellied heron ( Ardea insignis ) in Bhutan

Analysing environmental acoustic data through collaboration and automation

Visualization of Long-duration Acoustic Recordings of the Environment

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