A literature review of machine learning algorithms for crash injury severity prediction

K Santos, JP Dias, C Amado - Journal of safety research, 2022 - Elsevier
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …

Applications for deep learning in ecology

S Christin, É Hervet, N Lecomte - Methods in Ecology and …, 2019 - Wiley Online Library
A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

[HTML][HTML] Machine learning in acoustics: Theory and applications

MJ Bianco, P Gerstoft, J Traer, E Ozanich… - The Journal of the …, 2019 - pubs.aip.org
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …

[HTML][HTML] Sounds emitted by plants under stress are airborne and informative

I Khait, O Lewin-Epstein, R Sharon, K Saban… - Cell, 2023 - cell.com
Stressed plants show altered phenotypes, including changes in color, smell, and shape. Yet,
airborne sounds emitted by stressed plants have not been investigated before. Here we …

The use of bioacoustics in anuran taxonomy: theory, terminology, methods and recommendations for best practice

J Koehler, M Jansen, A Rodriguez, PJR Kok, LF Toledo… - Zootaxa, 2017 - biotaxa.org
Vocalizations of anuran amphibians have received much attention in studies of behavioral
ecology and physiology, but also provide informative characters for identifying and …

[HTML][HTML] Applications of machine learning in animal behaviour studies

JJ Valletta, C Torney, M Kings, A Thornton, J Madden - Animal Behaviour, 2017 - Elsevier
In many areas of animal behaviour research, improvements in our ability to collect large and
detailed data sets are outstripping our ability to analyse them. These diverse, complex and …

[PDF][PDF] Autonomous recording units in avian ecological research: current use and future applications.

J Shonfield, EM Bayne - Avian Conservation & Ecology, 2017 - researchgate.net
Acoustic surveys are a widely used sampling tool in ecological research and monitoring.
They are used to monitor populations and ecosystems and to study various aspects of …

Automated birdsong recognition in complex acoustic environments: a review

N Priyadarshani, S Marsland… - Journal of Avian Biology, 2018 - Wiley Online Library
Conservationists are increasingly using autonomous acoustic recorders to determine the
presence/absence and the abundance of bird species. Unlike humans, these recorders can …

Data augmentation approaches for improving animal audio classification

L Nanni, G Maguolo, M Paci - Ecological Informatics, 2020 - Elsevier
In this paper we present ensembles of classifiers for automated animal audio classification,
exploiting different data augmentation techniques for training Convolutional Neural …

Estimating animal population density using passive acoustics

TA Marques, L Thomas, SW Martin… - Biological …, 2013 - Wiley Online Library
Reliable estimation of the size or density of wild animal populations is very important for
effective wildlife management, conservation and ecology. Currently, the most widely used …