Using Machine Learning for predicting area and Firmware metrics of hardware designs from abstract specifications-Reference-Cited by-同舟云学术

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Using Machine Learning for predicting area and Firmware metrics of hardware designs from abstract specifications

Published:2019-11 Issue: Volume:71 Page:102853
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Servadei Lorenzo,Zennaro Elena,Fritz Tobias,Devarajegowda Keerthikumara,Ecker Wolfgang,Wille Robert

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference27 articles.

1. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

2. Random forests;Breiman;Mach. Learn.,2001

3. Cross-validation methods;Browne;J. Math. Psychol.,2000

4. Machine learning-based anomaly detection for post-silicon bug diagnosis;DeOrio,2013

5. On generation of properties from specification;Devarajegowda,2017

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1. Assisting pre-delivery firmware quality assessments using ensemble learning;Journal of the Chinese Institute of Engineers;2023-10-04

2. Wireless sensors application in smart English classroom design based on artificial intelligent system;Microprocessors and Microsystems;2021-03

3. Big data application in exchange rate financial prediction platform based on FPGA and human-computer interaction;Microprocessors and Microsystems;2021-02

4. Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation;IEEE Transactions on Computers;2020-06-01

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