James A. Grant-Jacob

According to our database, James A. Grant-Jacob authored at least 7 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Studying the Topography of Laser Cut Aluminium Using Latent Space Produced by Deep Learning.

Alexander F. Courtier, Matthew Praeger, James A. Grant-Jacob, Christophe Codemard, Paul Harrison, Ben Mills, Michalis N. Zervas

Proceedings of the 11th International Conference on Photonics, Optics and Laser Technology, 2023

2021

Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments.

Matthew Praeger, Yunhui Xie, James A. Grant-Jacob, Robert W. Eason, Ben Mills

Mach. Learn. Sci. Technol., 2021

Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining.

Michael D. T. McDonnell, Daniel Arnaldo, Etienne Pelletier, James A. Grant-Jacob, Matthew Praeger, Dimitris Karnakis, Robert W. Eason, Ben Mills

J. Intell. Manuf., 2021

2020

Modeling adult skeletal stem cell response to laser-machined topographies through deep learning.

Benita S. Mackay, Matthew Praeger, James A. Grant-Jacob, Janos Kanczler, Robert W. Eason, Richard O. C. Oreffo, Ben Mills

CoRR, 2020

Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta.

Benita S. Mackay, James A. Grant-Jacob, Robert W. Eason, Rohan M. Lewis, Ben Mills

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning.

Benita S. Mackay, Sophie Blundell, Olivia Etter, Yunhui Xie, Michael D. T. McDonnell, Matthew Praeger, James A. Grant-Jacob, Robert W. Eason, Rohan M. Lewis, Ben Mills

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2011

Table-top XUV nanoscope.

James A. Grant-Jacob

PhD thesis, 2011