Insects are the largest, most diverse organism class. Their key role in many ecosystems
means that it is important they are identified correctly for effective management. However …

The concept of Acoustic Source Identification (ASI), which refers to the process of identifying
noise sources has attracted increasing attention in recent years. The ASI technology can be …

Night-time light can have profound ecological effects, even when the source is natural
moonlight. The impacts of light can, however, vary substantially by taxon, habitat and …

Classification of animal species using animal sounds is a critical issue for bioacoustics work.
Especially the determination of anurans (frogs or toads) species can be used as an indicator …

During the last years, highly-recognized computational intelligence techniques have been
proposed to treat classification problems. These automatic learning approaches lead to the …

Conservation and sustainable management efforts in tropical forests often lack reliable,
effective, and easily-communicated ways to measure the biodiversity status of a protected or …

In spite of establishing audio perception techniques and tremendous progress of computer
capabilities, artificial perception of sound videlicet natural ability to hear is at the initial stage …

Introduction Various types of ships sail at sea, and identifying maritime ship types through
shipradiated noise is one of the tasks of ocean observation. The ocean environment is …

In the contemporary digital age, the proliferation of deepfakes presents a formidable
challenge to the sanctity of information dissemination. Audio deepfakes, in particular, can be …

Wood-boring pests (WBPs) are among the most destructive pests to trees, yet their presence
is difficult to detect due to their concealed lifestyles. Audio signals generated through the …