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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2024 | 2023 | 2022 | 2021
Number of items: 7.

2024

Pickles, Thomas and Mustoe, Chantal and Boyle, Christopher and Cardona, Javier and Brown, Cameron J. and Florence, Alastair J. (2024) Developing a model-driven workflow for the digital design of small-scale batch cooling crystallisation with the antiviral lamivudine. CrystEngComm, 26 (6). pp. 822-834. ISSN 1466-8033

2023

Sandhu, Parandeep and Tachtatzis, Christos and Boyle, Christopher and Cardona, Javier (2023) Data-driven approaches for the classification of crystallisation from in-line images. In: ISIC 2023, 2023-09-05 - 2023-09-08, University of Strathclyde.

Sandhu, Parandeep and Tachtatzis, Christos and Boyle, Christopher and Cardona, Javier (2023) Data-driven approaches for the classification of crystallisation outcomes from in-line images. In: CMAC Summer School, 2023-06-14 - 2023-06-16.

2022

Boyle, Christopher and Brown, Cameron and Sefcik, Jan and Cardona, Javier (2022) Improved particle characterisation from in-line PAT : comparison of deep learning and white-box methods. In: AIChE Annual Meeting 2022, 2022-11-13 - 2022-11-18, Phoenix Convention Center.

Moreno, Irene and Boyle, Christopher and Ferreira, Carla and Chen, Yi-Chieh and Brown, Cameron and Tachtatzis, Christos and Andonovic, Ivan and Sefcik, Jan and Cardona, Javier (2022) Deep Learning methods for solid loading prediction from in-line Chord Length Distributions (CLDs). In: Advances in Process Analytics and Control Technologies, 2022-09-14 - 2022-09-16.

Boyle, Christopher and Brown, Cameron and Sefcik, Jan and Cardona, Javier (2022) Evaluation of deep learning methods for particle characterisation from in-line imaging and chord length distribution measurements. In: Advances in Process Analytics and Control Technologies, 2022-09-14 - 2022-09-16.

2021

Boyle, Christopher and Ferreira, Carla and Chen, Yi-Chieh and Tachtatzis, Christos and Andonovic, Ivan and Brown, Cameron and Sefcik, Jan and Cardona, Javier (2021) Multidimensional particle characterisation from in-situ imaging using deep learning and transfer learning. In: 21st International Symposium on Industrial Crystallisation, 2021-08-30 - 2021-09-02, Online.

This list was generated on Sat Feb 24 05:11:22 2024 GMT.