Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …

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 …

Most animal species on Earth are insects, and recent reports suggest that their abundance is
in drastic decline. Although these reports come from a wide range of insect taxa and regions …

An improved CNN is proposed for the diagnosis of defects in components of a centrifugal
pump. The improvement is attained by modifying the cost function of CNN. For defect …

Automatic identification of bearing and rotor defects, when operated at varying speed is
challenging. To make this challenging task possible, a tacho-less deep learning model is …

Automatic detection and classification of animal sounds has many applications in
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …

Abstract Machine learning (ML) techniques excel at forecasting, clustering, and classification
tasks, making them valuable for various aspects of mosquito control. In this literature review …

Because a high signal-to-noise ratio (SNR) is beneficial to the subsequent processing
procedures, the noise attenuation is important. We propose an adaptive random noise …

Few-shot sound event detection is the task of detecting sound events, despite having only a
few labelled examples of the class of interest. This framework is particularly useful in …

Extracting species calls from passive acoustic recordings is a common preliminary step to
ecological analysis. For many species, particularly those occupying noisy, acoustically …