Zobrazeno 1 - 10
of 685
pro vyhledávání: '"A. Harabi"'
Autor:
Turck, Clément, Harabi, Kamel-Eddine, Pontlevy, Adrien, Ballet, Théo, Hirtzlin, Tifenn, Vianello, Elisa, Laurent, Raphaël, Droulez, Jacques, Bessière, Pierre, Bocquet, Marc, Portal, Jean-Michel, Querlioz, Damien
The demand for explainable and energy-efficient artificial intelligence (AI) systems for edge computing has led to significant interest in electronic systems dedicated to Bayesian inference. Traditional designs of such systems often rely on stochasti
Externí odkaz:
http://arxiv.org/abs/2406.03492
Autor:
Houmame Harabi, Mohamed Lyes Kamel Khouadjia, Sara Bensalem, Haytham F. Isleem, Mohammad Khishe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Concrete’s widespread use in construction is increasing due to urbanization and population growth. While it offers durability and strength, its production poses environmental challenges. Researchers and global initiatives are working towar
Externí odkaz:
https://doaj.org/article/8fd3c2d905c64e62b56ddeca0905799e
Autor:
Jebali, Fadi, Majumdar, Atreya, Turck, Clément, Harabi, Kamel-Eddine, Faye, Mathieu-Coumba, Muhr, Eloi, Walder, Jean-Pierre, Bilousov, Oleksandr, Michaud, Amadeo, Vianello, Elisa, Hirtzlin, Tifenn, Andrieu, François, Bocquet, Marc, Collin, Stéphane, Querlioz, Damien, Portal, Jean-Michel
Memristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired with energy harvesters. However, most memristor-based networks rely on
Externí odkaz:
http://arxiv.org/abs/2305.12875
Publikováno v:
Cerâmica, Vol 60, Iss 356, Pp 546-551 (2014)
This work addresses the development of an eventual low cost ceramic insulating or microfiltration membrane supports from inexpensive raw materials such Eloued quartz sand (EQS) and calcium phosphate (CP) using uniaxially dry compaction method. The pr
Externí odkaz:
https://doaj.org/article/ade3496e3c0e4305b3563d8fbbedd1ff
Autor:
Harabi, Kamel-Eddine, Turck, Clement, Drouhin, Marie, Renaudineau, Adrien, Bersani--Veroni, Thomas, Querlioz, Damien, Hirtzlin, Tifenn, Vianello, Elisa, Bocquet, Marc, Portal, Jean-Michel
We present an integrated circuit fabricated in a process co-integrating CMOS and hafnium-oxide memristor technology, which provides a prototyping platform for projects involving memristors. Our circuit includes the periphery circuitry for using memri
Externí odkaz:
http://arxiv.org/abs/2302.14577
Autor:
S. Kitouni, A. Harabi
Publikováno v:
Cerâmica, Vol 57, Iss 344, Pp 453-460 (2011)
Porcelain is a type of ceramics highly valued for its beauty and strength. The overall goal of this work is to utilize local raw materials within the following fractions: 37 wt.% kaolin, 35 wt.% feldspar and 28 wt.% quartz. This composition has been
Externí odkaz:
https://doaj.org/article/32ad6ab6ccb54d808a8ace8e4d6b0ecd
Autor:
Harabi, Kamel-Eddine, Hirtzlin, Tifenn, Turck, Clément, Vianello, Elisa, Laurent, Raphaël, Droulez, Jacques, Bessière, Pierre, Portal, Jean-Michel, Bocquet, Marc, Querlioz, Damien
In recent years, a considerable research effort has shown the energy benefits of implementing neural networks with memristors or other emerging memory technologies. However, for extreme-edge applications with high uncertainty, access to reduced amoun
Externí odkaz:
http://arxiv.org/abs/2112.10547
Autor:
Souad Kasrani, Abdelhamid Harabi
Publikováno v:
Ceramics-Silikáty, Vol 68, Iss 1, Pp 1-6 (2024)
The aim of this work was to determine the effect of an Al₂O₃ addition on the dielectric properties of a porcelain insulator prepared from local Algerian raw materials. The new selected composition was 45 wt% kaolin, 30 wt% potash-feldspar and 25
Externí odkaz:
https://doaj.org/article/d5b966020a1146c295bbc2dfe3e0430c
Autor:
Fadi Jebali, Atreya Majumdar, Clément Turck, Kamel-Eddine Harabi, Mathieu-Coumba Faye, Eloi Muhr, Jean-Pierre Walder, Oleksandr Bilousov, Amadéo Michaud, Elisa Vianello, Tifenn Hirtzlin, François Andrieu, Marc Bocquet, Stéphane Collin, Damien Querlioz, Jean-Michel Portal
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Memristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired with energy harvesters. However, most memristor-based network
Externí odkaz:
https://doaj.org/article/9069737b51ae4f8bb963f0d34fb0f961
Autor:
Harabi, S., Guiza, S., Álvarez-Montero, A., Gómez-Avilés, A., Belver, C., Rodríguez, J.J., Bedia, J.
Publikováno v:
In Environmental Research 15 April 2024 247