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Javier Cardona
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Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes
J Cardona, C Ferreira, J McGinty, A Hamilton, OS Agimelen, A Cleary, ...
Chemical Engineering Science 191, 208-231, 2018
382018
Molecular dynamics investigation of the influence of the hydrogen bond networks in ethanol/water mixtures on dielectric spectra
J Cardona, MB Sweatman, L Lue
The Journal of Physical Chemistry B 122 (4), 1505-1515, 2018
352018
Molecular dynamics simulations for the prediction of the dielectric spectra of alcohols, glycols and monoethanolamine
J Cardona, R Fartaria, MB Sweatman, L Lue
Molecular Simulation 42 (5), 370-390, 2016
312016
Crystal shape modification via cycles of growth and dissolution in a tubular crystallizer
P Neugebauer, J Cardona, MO Besenhard, A Peter, H Gruber-Woelfler, ...
Crystal growth & design 18 (8), 4403-4415, 2018
242018
Interplay between vacuum-grown monolayers of alkylphosphonic acids and the performance of organic transistors based on dinaphtho [2, 3-b: 2′, 3′-f] thieno [3, 2-b] thiophene
S Hannah, J Cardona, DA Lamprou, P Šutta, P Baran, A Al Ruzaiqi, ...
ACS applied materials & interfaces 8 (38), 25405-25414, 2016
192016
Multi-sensor inline measurements of crystal size and shape distributions during high shear wet milling of crystal slurries
OS Agimelen, V Svoboda, B Ahmed, J Cardona, J Dziewierz, CJ Brown, ...
Advanced Powder Technology 29 (12), 2987-2995, 2018
172018
Simple corrections for the static dielectric constant of liquid mixtures from model force fields
J Cardona, M Jorge, L Lue
Physical Chemistry Chemical Physics 22 (38), 21741-21749, 2020
112020
Quantification of particle size and concentration using in-line techniques and multivariate analysis
C Ferreira, J Cardona, O Agimelen, C Tachtatzis, I Andonovic, J Sefcik, ...
Powder Technology 376, 1-11, 2020
52020
Automatic annotation of subsea pipelines using deep learning
A Stamoulakatos, J Cardona, C McCaig, D Murray, H Filius, R Atkinson, ...
Sensors 20 (3), 674, 2020
52020
Monitoring crystal breakage in wet milling processes using inline imaging and chord length distribution measurements
OS Agimelen, V Svoboda, B Ahmed, J Cardona, J Dziewierz, CJ Brown, ...
arXiv preprint arXiv:1703.09186, 2017
52017
Effect of oscillatory flow conditions on crystalliser fouling investigated through non-invasive imaging
R Sheridan, J Cardona, C Tachtatzis, YC Chen, A Cleary, N Briggs, ...
Chemical Engineering Science 252, 117188, 2022
12022
A flexible multi-temporal and multi-modal framework for Sentinel-1 and Sentinel-2 analysis ready data
P Upadhyay, M Czerkawski, C Davison, J Cardona, M Macdonald, ...
Remote Sensing 14 (5), 1120, 2022
12022
Neural knitworks: Patched neural implicit representation networks
M Czerkawski, J Cardona, R Atkinson, C Michie, I Andonovic, C Clemente, ...
arXiv preprint arXiv:2109.14406, 2021
12021
A comparison of the performance of 2D and 3D convolutional neural networks for subsea survey video classification
A Stamoulakatos, J Cardona, C Michie, I Andonovic, P Lazaridis, ...
OCEANS 2021: San Diego–Porto, 1-10, 2021
12021
The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry
J Cardona, C Ferreira, V Svoboda, B Ahmed, J McGinty, OS Agimelen, ...
Advances in Manufacturing Technology XXXII 8, 27, 2018
12018
Unravelling anomalous mass transport in antisolvent crystallisation
I Moreno Flores, D McKechnie, L Lue, J Cardona
CMAC Open Days, 2022
2022
Deep internal learning for inpainting of cloud-affected regions in satellite imagery
M Czerkawski, P Upadhyay, C Davison, A Werkmeister, J Cardona, ...
Remote Sensing 14 (6), 1342, 2022
2022
CYBELE:: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture
N Zhou, L Zhong, D Hoppe, B Pejak, O Marko, J Cardona, M Czerkawski, ...
HPC, Big Data, and AI Convergence Towards Exascale, 255-272, 2022
2022
Neural weight step video compression
M Czerkawski, J Cardona, R Atkinson, C Michie, I Andonovic, C Clemente, ...
arXiv preprint arXiv:2112.01504, 2021
2021
Multidimensional particle characterisation from in-situ imaging using deep learning and transfer learning
C Boyle, C Ferreira, YC Chen, C Tachtatzis, I Andonovic, C Brown, ...
21st International Symposium on Industrial Crystallisation, 2021
2021
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