Autonomous acoustic recorders are an increasingly popular method for low‐disturbance,
large‐scale monitoring of sound‐producing animals, such as birds, anurans, bats, and other …

Recent work in wireless embedded networked systems has followed heterogeneous
designs, incorporating a mixture of elements from extremely constrained 8-or 16-bit “Motes” …

The detection of repeated subsequences, time series motifs, is a problem which has been
shown to have great utility for several higher-level data mining algorithms, including …

Behavioral and ecological studies would benefit from the ability to automatically identify
species from acoustic recordings. The work presented in this article explores the ability of …

Field biologists use animal sounds to discover the presence of individuals and to study their
behavior. Collecting bioacoustic data has traditionally been a difficult and time consuming …

The key solution to study birds in their natural habitat is the continuous survey using wireless
sensors networks (WSN). The final objective of this study is to conceive a system for …

This book offers an overview of some recent advances in the Computational Bioacoustics
methods and technology. In the focus of discussion is the pursuit of scalability, which would …

In this paper we shall present recent results of two applications for monitoring using
acoustical signal classification. The first case study is the problem of context awareness …

Camera-based surveillance systems are commonly installed in many parking lots as a
countermeasure for parking lot accidents. Unfortunately these systems cannot effectively …

Fast environmental variations due to climate change can cause mass decline or even
extinctions of species, having a dramatic impact on the future of biodiversity. During the last …