Ghent University Academic Bibliography

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Modal analysis of bulk current injection tests involving multiwire harnesses

Xinglong Wu, Nicola Toscani, Domenico Spina (UGent) , Dries Vande Ginste (UGent) and Flavia Grassi

(2023) 2023 International Symposium on Electromagnetic Compatibility – EMC Europe. p.1-6
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- Book Chapter
Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning

Domenico Spina (UGent) , Tom Dhaene (UGent) and Flavia Grassi

(2021) Uncertainty quantification of electromagnetic devices, circuits, and systems. p.243-262
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- Journal Article
- A1
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A hybrid perturbative-stochastic Galerkin method for the variability analysis of nonuniform transmission lines

Xinglong Wu, Paolo Manfredi, Dries Vande Ginste (UGent) and Flavia Grassi

(2020) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 62(3). p.746-754
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Compensating mode conversion due to bend discontinuities through intentional trace asymmetry

Xinglong Wu, Flavia Grassi, Paolo Manfredi (UGent) , Dries Vande Ginste (UGent) and Sergio A. Pignari

(2020) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 62(2). p.617-621
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Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment

Simon De Ridder, Domenico Spina (UGent) , Nicola Toscani, Flavia Grassi, Dries Vande Ginste (UGent) and Tom Dhaene (UGent)

(2020) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 62(6). p.2538-2546
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- Journal Article
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Scattering parameters characterization of periodically nonuniform transmission lines with a perturbative technique

Xiaokang Liu, Xinglong Wu, Flavia Grassi, Giordano Spadacini, Dries Vande Ginste (UGent) and Sergio A. Pignari

(2020) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 62(6). p.2595-2603
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A machine learning-based epistemic modeling framework for EMC and SI assessment

Duygu De Witte (UGent) , Simon De Ridder, Domenico Spina (UGent) , Tom Dhaene (UGent) , Hendrik Rogier (UGent) , Dries Vande Ginste (UGent) and Flavia Grassi

(2020) 2020 IEEE 24th Workshop on Signal and Power Integrity (SPI), Proceedings. In IEEE Workshop on Signal and Power Integrity
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Machine learning-based hybrid random-fuzzy modeling framework for antenna design

Duygu De Witte (UGent) , Simon De Ridder, Domenico Spina (UGent) , Ivo Couckuyt (UGent) , Flavia Grassi, Tom Dhaene (UGent) , Hendrik Rogier (UGent) and Dries Vande Ginste (UGent)

(2020) 2020 14th European Conference on Antennas and Propagation (EuCAP). In Proceedings of the European Conference on Antennas and Propagation
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A machine-learning-based epistemic modeling framework for textile antenna design

Duygu De Witte (UGent) , Domenico Spina (UGent) , Simon De Ridder, Flavia Grassi, Hendrik Rogier (UGent) and Dries Vande Ginste (UGent)

(2019) IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS. 18(11). p.2292-2296
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Perturbative analysis of differential-to-common mode conversion in asymmetric nonuniform interconnects

Xinglong Wu, Flavia Grassi, Paolo Manfredi (UGent) and Dries Vande Ginste (UGent)

(2018) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 60(1). p.7-15

Academic Bibliography

Modal analysis of bulk current injection tests involving multiwire harnesses

Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning

A hybrid perturbative-stochastic Galerkin method for the variability analysis of nonuniform transmission lines

Compensating mode conversion due to bend discontinuities through intentional trace asymmetry

Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment

Scattering parameters characterization of periodically nonuniform transmission lines with a perturbative technique

A machine learning-based epistemic modeling framework for EMC and SI assessment

Machine learning-based hybrid random-fuzzy modeling framework for antenna design

A machine-learning-based epistemic modeling framework for textile antenna design

Perturbative analysis of differential-to-common mode conversion in asymmetric nonuniform interconnects

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