Multi-label learning is a rapidly growing research area that aims to predict multiple labels
from a single input data point. In the era of big data, tasks involving multi-label classification …

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

Simple Summary Automatic bird sound recognition using artificial intelligence technology
has been widely used to identify bird species recently. However, the bird sounds recorded in …

Noise control on construction sites is essential to manage project risks including safety
accidents, worker's health, and civil complaints. This paper presents two advanced Audio …

As part of ornithology, bird species classification is vital to understanding species
distribution, habitat requirements and environmental changes that affect bird populations. It …

Ship classification based on machine learning (ML) has proven to be a significant
underwater acoustic research direction. One of the critical challenges rests with how to …

Studies related to bird species identification, movements, and behavior are important for
protecting the environment and measuring biodiversity, especially for ornithological …

Determining the source of a weak sound signal can be difficult, particularly in busy or noisy
surroundings. The hand-engineered characteristics and algorithms used in traditional …

Efficient and accurate bird sound classification is of important for ecology, habitat protection
and scientific research, as it plays a central role in monitoring the distribution and …

In the harvest season, orchards are frequently plagued by birds, and thus significant fruit
pecking can adversely affect both the fruit quality and yield. Recognizing bird songs is …