Audio recognition can be used in smart cities for security, surveillance, manufacturing,
autonomous vehicles, and noise mitigation, just to name a few. However, urban sounds are …

Environmental sounds are being used widely in our lives. It is especially used in tasks such
as managing smart cities, location determination, surveillance systems, machine hearing …

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

The use of passive acoustic monitoring (PAM) can compensate for the shortcomings of
traditional survey methods on spatial and temporal scales and achieve all-weather and wide …

Audiovisual scene understanding is a challenging problem due to the unstructured spatial–
temporal relations that exist in the audio signals and spatial layouts of different objects in the …

Environmental sound classification (ESC) is an important research problem with a broad
range of applications including audio-based surveillance, audio-visual systems, smart …

Environmental sound classification (ESC) is an increasingly relevant field of research in
recent years but has high computational overhead in its classification of environmental …

Many relevant sound events occur in urban scenarios, and robust classification models are
required to identify abnormal and relevant events correctly. These models need to identify …

Underwater acoustic target recognition is very complex due to the lack of labeled data sets,
the complexity of the marine environment, and the interference of background noise. In order …

The proposed method contributes the time-series classification literature with a novel time-
convexity based representation, which extends the current graph conversion approaches by …