Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cerutti, Gianmarco"'
Autor:
Cerutti, Gianmarco, Cavigelli, Lukas, Andri, Renzo, Magno, Michele, Farella, Elisabetta, Benini, Luca
Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or directly as a human-computer interface. For many applications, KWS is the en
Externí odkaz:
http://arxiv.org/abs/2201.03386
Autor:
Cerutti, Gianmarco, Andri, Renzo, Cavigelli, Lukas, Magno, Michele, Farella, Elisabetta, Benini, Luca
Sound event detection (SED) is a hot topic in consumer and smart city applications. Existing approaches based on Deep Neural Networks are very effective, but highly demanding in terms of memory, power, and throughput when targeting ultra-low power al
Externí odkaz:
http://arxiv.org/abs/2101.04446
Outdoor acoustic events detection is an exciting research field but challenged by the need for complex algorithms and deep learning techniques, typically requiring many computational, memory, and energy resources. This challenge discourages IoT imple
Externí odkaz:
http://arxiv.org/abs/2001.10876
Autor:
Cheikh, Abdallah, Cerutti, Gianmarco, Mastrandrea, Antonio, Menichelli, Francesco, Olivieri, Mauro
Publikováno v:
ApplePies 2017. Lecture Notes in Electrical Engineering, vol 512. 2019. Springer
Internet-of-Things end-nodes demand low power processing platforms characterized by heterogeneous dedicated units, controlled by a processor core running concurrent control threads. Such architecture scheme fits one of the main target application dom
Externí odkaz:
http://arxiv.org/abs/1712.04902
Autor:
Cerutti, Gianmarco <1994>
The IoT is in a continuous evolution thanks to new technologies that open the doors to various applications. While the structure of the IoT network remains the same over the years, specifically composed of a server, gateways, and nodes, their tasks c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc5080274c5e0209e9d8d4a5506e34b