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pro vyhledávání: '"Meelan Bandara"'
Autor:
Thinira Wanasinghe, Sakuni Bandara, Supun Madusanka, Dulani Meedeniya, Meelan Bandara, Isabel De La Torre Diez
Publikováno v:
IEEE Access, Vol 12, Pp 21262-21276 (2024)
Detecting respiratory diseases is of utmost importance, considering that respiratory ailments represent one of the most prevalent categories of diseases globally. The initial stage of lung disease detection involves auscultation conducted by speciali
Externí odkaz:
https://doaj.org/article/a132de413302471d8965b39acce26d62
Publikováno v:
Sensors, Vol 23, Iss 4, p 2032 (2023)
The study of environmental sound classification (ESC) has become popular over the years due to the intricate nature of environmental sounds and the evolution of deep learning (DL) techniques. Forest ESC is one use case of ESC, which has been widely e
Externí odkaz:
https://doaj.org/article/b3eb24cd49974fb587b7255b6962421a
Publikováno v:
Sensors. 23:2032
The study of environmental sound classification (ESC) has become popular over the years due to the intricate nature of environmental sounds and the evolution of deep learning (DL) techniques. Forest ESC is one use case of ESC, which has been widely e