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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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Number of items: 10.

Sandhu, Parandeep and Boyle, Christopher and Tachtatzis, Christos and Cardona, Javier (2024) Multi-label classification of crystallisation outcomes from in-situ imaging. In: 2024 British Association for Crystal Growth Annual Conference, 2024-07-01 - 2024-07-03.

Barhate, Yash and Boyle, Christopher and Salami, Hossein and Wu, Wei-Lee and Taherimakhsousi, Nina and Rabinowitz, Charlie and Bommarius, Andreas and Cardona, Javier and Nagy, Zoltan K. and Rousseau, Ronald and Grover, Martha (2024) OpenCrystalData : an open-access particle image database to facilitate learning, experimentation, and development of image analysis models for crystallization processes. Digital Chemical Engineering, 11. 100150. ISSN 2772-5081

Cashmore, Andrew and Georgoulas, Konstantinos and Boyle, Christopher and Lee, Mei and Haw, Mark D. and Sefcik, Jan (2024) Secondary nucleation of α-glycine induced by fluid shear investigated using a Couette flow cell. Crystal Growth and Design, 24 (12). pp. 4975-4984. ISSN 1528-7483

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

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.

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.

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 Thu Nov 21 11:51:38 2024 GMT.