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 …

Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

Rapid urbanization and population growth worldwide seriously challenge building livable
and sustainable cities. This increase causes the increase and diversification of urban …

Accurately and objectively analyzing fish feeding intensity is essential to guiding feeding
and production techniques. Fish feeding intensity in recirculating aquaculture systems (RAS) …

Sound classification has been widely used in many fields. Unlike traditional signal-
processing methods, using deep learning technology for sound classification is one of the …

Deep-learning models play a significant role in modern software solutions, with the
capabilities of handling complex tasks, improving accuracy, automating processes, and …

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

In our day-to-day life, observation of human and social actions are highly important for public
protection and security. Additionally, identifying suspicious activity is also essential in critical …

Today, humans pose the greatest threat to society by getting involved in robbery, assault, or
homicide activities. Such circumstances threaten the people working alone at night in …

Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic
of the recording environment. In this regard, deep learning based approaches have …