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Generative adversarial network based data augmentation for CNN based detection of Covid-19

Scientific reports, 2022-11, Vol.12 (1), p.19186-19186, Article 19186

2022

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Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation

Computer methods and programs in biomedicine, 2023-02, Vol.229, p.107262, Article 107262

2023

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A generative learning and graph-based framework for computing field variables in Finite Element simulations

Computer methods in applied mechanics and engineering, 2024-08, Vol.428, p.117111, Article 117111

2024

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Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

Computer methods in applied mechanics and engineering, 2020-06, Vol.364, p.112989, Article 112989

2020

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Multi‐parameter design optimization of crash box for crashworthiness analysis

Proceedings in applied mathematics and mechanics, 2024-10, Vol.24 (3), p.n/a

2024

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Machine learning enhanced optimisation of crash box design for crashworthiness analysis

Proceedings in applied mathematics and mechanics, 2023-12, Vol.23 (4), p.n/a

2023

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Generative learning‐based model for the prediction of 2D stress distribution

Proceedings in applied mathematics and mechanics, 2023-12, Vol.23 (4), p.n/a

2023

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Graph Neural Network enhanced Finite Element modelling

Proceedings in applied mathematics and mechanics, 2023-03, Vol.22 (1), p.n/a

2023

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Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology

Computer methods and programs in biomedicine, 2021-09, Vol.208, p.106279-106279, Article 106279

2021

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Data augmentation for design of concentric tube continuum robots by generative adversarial networks

Proceedings in applied mathematics and mechanics, 2023-12, Vol.23 (4), p.n/a

2023

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Generative adversarial network based data augmentation for CNN based detection of Covid-19

Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation

A generative learning and graph-based framework for computing field variables in Finite Element simulations

Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

Multi‐parameter design optimization of crash box for crashworthiness analysis

Machine learning enhanced optimisation of crash box design for crashworthiness analysis

Generative learning‐based model for the prediction of 2D stress distribution

Graph Neural Network enhanced Finite Element modelling

Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology

Data augmentation for design of concentric tube continuum robots by generative adversarial networks

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