PROXIMA: Improving Measurement-Based Timing Analysis through Randomisation and Probabilistic Analysis-Reference-Cited by-同舟云学术

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PROXIMA: Improving Measurement-Based Timing Analysis through Randomisation and Probabilistic Analysis

Published:2016-08 Issue: Volume: Page:
ISSN:
Container-title:2016 Euromicro Conference on Digital System Design (DSD)
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Author:

Cazorla Francisco J.,Abella Jaume,Andersson Jan,Vardanega Tullio,Vatrinet Francis,Bate Iain,Broster Ian,Azkarate-Askasua Mikel,Wartel Franck,Cucu Liliana,Cros Fabrice,Farrall Glenn,Gogonel Adriana,Gianarro Andrea,Triquet Benoit,Hernandez Carles,Lo Code,Maxim Cristian,Morales David,Quinones Eduardo,Mezzetti Enrico,Kosmidis Leonidas,Aguirre Irune,Fernandez Mikel,Slijepcevic Mladen,Conmy Philippa,Talaboulma Walid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7717032/7723516/07723564.pdf?arnumber=7723564

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Deep Transfer Learning-Based Comparative Study for Detection of Malaria Disease;Sakarya University Journal of Computer and Information Sciences;2022-11-30

2. Hybrid probabilistic timing analysis with Extreme Value Theory and Copulas;Microprocessors and Microsystems;2022-03

3. Multi-core Devices for Safety-critical Systems;ACM Computing Surveys;2021-07-31

4. Towards a Hybrid Probabilistic Timing Analysis;Advances in Science, Technology and Engineering Systems Journal;2021-02

5. Work-in-Progress: Towards representative measurement protocols;2020 IEEE Real-Time Systems Symposium (RTSS);2020-12

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