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ORCIDMohamed A. Neggaz
Person information
- affiliation (PhD 2020): Polytechnic University of Hauts-de-France, LAMIH, Valenciennes, France
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Books and Theses
- 2020
[b1]Mohamed Ayoub Neggaz:
Hardware Accelerators for Machine Learning Applications. Case Study: Autonomous Vehicles. (Accélérateurs Matériels pour l'Intelligence Artificielle. Etude de Cas : Voitures Autonomes). Polytechnic University of Hauts-de-France, France, 2020
Journal Articles
- 2020
- [j1]Mohamed A. Neggaz
, Ihsen Alouani, Smaïl Niar, Fadi J. Kurdahi:
Are CNNs Reliable Enough for Critical Applications? An Exploratory Study. IEEE Des. Test 37(2): 76-83 (2020)
Conference and Workshop Papers
- 2022
- [c5]Junjie Li, Alexander Bobyr, Swen Boehm, William C. Brantley, Holger Brunst, Aurélien Cavelan, Sunita Chandrasekaran, Jimmy Cheng, Florina M. Ciorba, Mathew E. Colgrove, Tony Curtis, Christopher S. Daley, Mauricio H. Ferrato, Mayara Gimenes de Souza, Nick Hagerty, Robert Henschel, Guido Juckeland, Jeffrey Kelling, Kelvin Li, Ron Lieberman, Kevin McMahon, Egor Melnichenko, Mohamed Ayoub Neggaz, Hiroshi Ono, Carl Ponder, Dave Raddatz, Severin Schueller, Robert Searles, Fedor Vasilev, Verónica G. Melesse Vergara, Bo Wang, Bert Wesarg, Sandra Wienke, Miguel Zavala:
SPEChpc 2021 Benchmark Suites for Modern HPC Systems. ICPE (Companion) 2022: 15-16 - 2019
- [c4]Hamza Ouarnoughi, Mohamed A. Neggaz, Berkay Gulcan, Özcan Özturk, Smaïl Niar:
Hierarchical Platform for Autonomous Driving. INTESA 2019: 7-12 - 2018
- [c3]Mohamed Ayoub Neggaz, Hasan Erdem Yantir, Smaïl Niar, Ahmed M. Eltawil, Fadi J. Kurdahi:
Rapid in-memory matrix multiplication using associative processor. DATE 2018: 985-990 - [c2]Mohamed A. Neggaz, Ihsen Alouani, Pablo R. Lorenzo, Smaïl Niar:
A Reliability Study on CNNs for Critical Embedded Systems. ICCD 2018: 476-479 - [c1]Mohamed Ayoub Neggaz, Smaïl Niar, Fadi J. Kurdahi:
Computational and Communication Reduction Technique in Machine Learning Based Near Sensor Applications. ICM 2018: 68-71
Coauthor Index
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