Javier Cardona Amengual

Phone01415482249
Emailj.cardona-amengualstrath.acuk

United Kingdom

Accepting PhD Students

PhD projects

1) Data-driven approaches for in-line monitoring of particle attributes in chemical and pharmaceutical manufacturing processes (<a href="https://bit.ly/2WQmK95">https://bit.ly/2WQmK95</a>) <br />

2) Hybrid data-driven and first principles models for crystal nucleation and growth (<a href="https://bit.ly/2YWAKRu">https://bit.ly/2YWAKRu</a>) <br />

3) Detecting and characterising airborne microplastics and asbestos fibres through Machine Learning (<a href="https://bit.ly/2Wo8Goo">https://bit.ly/2Wo8Goo</a>)

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2022
Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342
Czerkawski, M., Upadhyay, P., Davison, C., Werkmeister, A., Cardona, J., Atkinson, R., Michie, C., Andonovic, I., Macdonald, M. & Tachtatzis, C., 14 Dec 2022, (E-pub ahead of print) In: Remote Sensing. 14, 24, 4 p., 6324.
Research output: Contribution to journal › Comment/debate › peer-review

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Javier Cardona Amengual

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Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342