Ben Mills

According to our database, Ben Mills authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study.

David A. Robb, Donald Risbridger, Ben Mills, Ildar Rakhmatulin, Xianwen Kong, Mustafa Suphi Erden, M. J. Daniel Esser, Richard M. Carter, Mike J. Chantler

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

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