Výsledky vyhledávání - "Lancelot Charles Lhoest"

AITIA: Embedded AI Techniques for Industrial Applications

Autor: Bruno da Silva, Jurgen Vandendriessche, Marcelo Brandalero, Abdellah Touhafi, Laurens Le Jeune, Diana Goehringer, Toon Goedemé, Mitko Veleski, Michael Hübner, Lancelot Charles Lhoest, Hector Gerardo Munoz Hernandez, Nele Mentens, Muhammad Ali

Publikováno v: FPL
31st International Conference on Field-Programmable Logic and Applications (FPL), 374-375. IEEE
STARTPAGE=374;ENDPAGE=375;TITLE=31st International Conference on Field-Programmable Logic and Applications (FPL)

Motivated by an increasing interest from startups in embedded Artificial Intelligence (AI) and by their limited expertise, the AITIA Project targets the development of embedded AI techniques for industrial applications. This extended abstract present

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b7772f3237df7b3654370029c9c5cac
https://biblio.vub.ac.be/vubir/aitia-embedded-ai-techniques-for-industrial-applications(159978c8-0108-49e2-9cff-d7f8f80bf1f4).html

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MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification

Autor: Mimoun Lamrini, Nick Wouters, Jurgen Vandendriessche, Bruno da Silva, Mohamed Yassin Chkouri, Lancelot Charles Lhoest, Abdellah Touhafi

Publikováno v: Applied Sciences
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8394, p 8394 (2021)

Environmental Sound Recognition has become a relevant application for smart cities. Such an application, however, demands the use of trained machine learning classifiers in order to categorize a limited set of audio categories. Although classical mac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d89255e8fa03bcba6cd664e7d173be1c
https://doi.org/10.3390/app11188394

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M3-AC: A Multi-Mode Multithread SoC FPGA Based Acoustic Camera

Autor: Lancelot Charles Lhoest, An Braeken, Abdellah Touhafi, Jurgen Vandendriessche, Bruno da Silva

Publikováno v: Electronics, Vol 10, Iss 317, p 317 (2021)
Electronics
Volume 10
Issue 3

Acoustic cameras allow the visualization of sound sources using microphone arrays and beamforming techniques. The required computational power increases with the number of microphones in the array, the acoustic images resolution, and in particular, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c8ee537212f63a8c686f80385d7a46
https://www.mdpi.com/2079-9292/10/3/317

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Akademický článek

M3-AC: A Multi-Mode Multithread SoC FPGA Based Acoustic Camera.

Autor: Vandendriessche, Jurgen, da Silva, Bruno, Lhoest, Lancelot, Braeken, An, Touhafi, Abdellah, Barkalov, Alexander

Publikováno v: Electronics (2079-9292); 2/1/2021, Vol. 10 Issue 3, p317-317, 1p

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