Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …

Automated bioacoustics classification has received increasing attention from the research
community in recent years due its cross-disciplinary nature and its diverse application …

Automatic detection of calling bird species is advantageous for monitoring the environment
on a broad scale, both temporally and spatially. Numerous investigations have been …

In the era of automated and digitalized information, advanced computer applications deal
with a major part of the data that comprises audio-related information. Advancements in …

Background Identifying species, particularly small metazoans, remains a daunting challenge
and the phylum Nematoda is no exception. Typically, nematode species are differentiated …

Environmental sound classification is an important branch of acoustic signal processing. In
this work, a set of sound classification features based on audio signal perception and …

Aquatic ecosystems are constantly changing due to anthropic stressors, which can lead to
biodiversity loss. Ocean sound is considered an essential ocean variable, with the potential …

In order to assess risk of mosquito-vector borne disease and to effectively target and monitor
vector control efforts, accurate information about mosquito vector population densities is …

In smart city design, artificial intelligence, health optimization, and the Internet of medical
things are crucial in developing machine learning-based medical data analytics. The two …

To conserve bird biodiversity and monitor the distribution of species in the region, it is of
tremendous necessity to identify birds by their songs and explore the rich ecological …