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Machine learning-based error detection and design optimization in signal integrity applications

Roberto Medico (UGent) , Domenico Spina (UGent) , Dries Vande Ginste (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)
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Keywords
Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Electronic, Optical and Magnetic Materials

Citation

Please use this url to cite or link to this publication:

Chicago
Medico, Roberto, Domenico Spina, Dries Vande Ginste, Dirk Deschrijver, and Tom Dhaene. 2019. “Machine Learning-based Error Detection and Design Optimization in Signal Integrity Applications.” Ieee Transactions on Components Packaging and Manufacturing Technology.
APA
Medico, R., Spina, D., Vande Ginste, D., Deschrijver, D., & Dhaene, T. (2019). Machine learning-based error detection and design optimization in signal integrity applications. IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY.
Vancouver
1.
Medico R, Spina D, Vande Ginste D, Deschrijver D, Dhaene T. Machine learning-based error detection and design optimization in signal integrity applications. IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY. 2019;
MLA
Medico, Roberto et al. “Machine Learning-based Error Detection and Design Optimization in Signal Integrity Applications.” IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY (2019): n. pag. Print.
@article{8624910,
  author       = {Medico, Roberto and Spina, Domenico and Vande Ginste, Dries and Deschrijver, Dirk and Dhaene, Tom},
  issn         = {2156-3950},
  journal      = {IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY},
  keywords     = {Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic,Optical and Magnetic Materials},
  language     = {eng},
  title        = {Machine learning-based error detection and design optimization in signal integrity applications},
  url          = {http://dx.doi.org/10.1109/tcpmt.2019.2916902},
  year         = {2019},
}

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