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pro vyhledávání: '"Ancilotto, Alberto"'
Autor:
Martín-Morató, Irene, Paissan, Francesco, Ancilotto, Alberto, Heittola, Toni, Mesaros, Annamaria, Farella, Elisabetta, Brutti, Alessio, Virtanen, Tuomas
This paper presents an analysis of the Low-Complexity Acoustic Scene Classification task in DCASE 2022 Challenge. The task was a continuation from the previous years, but the low-complexity requirements were changed to the following: the maximum numb
Externí odkaz:
http://arxiv.org/abs/2206.03835
In the Internet of Things era, where we see many interconnected and heterogeneous mobile and fixed smart devices, distributing the intelligence from the cloud to the edge has become a necessity. Due to limited computational and communication capabili
Externí odkaz:
http://arxiv.org/abs/2110.00337
Akademický článek
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Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-18
In the Internet of Things era, where we see many interconnected and heterogeneous mobile and fixed smart devices, distributing the intelligence from the cloud to the edge has become a necessity. Due to limited computational and communication capabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed85c83ddbe07d4dc612456c010634ca
https://doi.org/10.1145/3510832
https://doi.org/10.1145/3510832
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Sound Event Detection (SED) pipelines identify and classify relevant events in audio streams. With typical applications in the smart city domain (e.g., crowd counting, alarm triggering), SED is an asset for municipalities and law enforcement agencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4d5d395272fd0e21cb9c752687f917
https://doi.org/10.23919/eusipco55093.2022.9909572
https://doi.org/10.23919/eusipco55093.2022.9909572
Autor:
Zanella, Luca, Yiming Wang, Dall Asen, Nicola, Ancilotto, Alberto, Paissan, Francesco, Elisa Ricci, Elisabetta Farella, Alessio Brutti, Pistore, Marco
Publikováno v:
Ital-IA 2022 Convegno del Laboratorio nazionale CINI-AIIS
Fondazione Bruno Kessler-IRIS
Fondazione Bruno Kessler-IRIS
With the massive amount of data produced by ambient environmental sensors, many AI-based solutions are emerging to support new smart cities’ applications. However, these data may contain sensitive personal information, calling for responsible AI so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062c10ef060558ddccc7797b96da6209