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

Ben Mills David A. Robb 0001 Donald Risbridger Ben Mills Ildar Rakhmatulin Xianwen Kong Mustafa Suphi Erden M. J. Daniel Esser Richard M. Carter Mike J. Chantler Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study. 296-303 2024 CASE https://doi.org/10.1109/CASE59546.2024.10711782 conf/case/2024 db/conf/case/case2024.html#0001RMRKEECC24

David A. Robb 0001 Donald Risbridger Ben Mills Ildar Rakhmatulin Xianwen Kong Mustafa Suphi Erden M. J. Daniel Esser Richard M. Carter Mike J. Chantler Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study. 2024 abs/2409.11090 CoRR https://doi.org/10.48550/arXiv.2409.11090 db/journals/corr/corr2409.html#abs-2409-11090 streams/journals/corr

Alexander F. Courtier Matthew Praeger James A. Grant-Jacob Christophe Codemard Paul Harrison Ben Mills Michalis N. Zervas Studying the Topography of Laser Cut Aluminium Using Latent Space Produced by Deep Learning. 49-51 2023 PHOTOPTICS https://doi.org/10.5220/0011631400003408 conf/photoptics/2023 db/conf/photoptics/photoptics2023.html#CourtierPGCHMZ23

Michael D. T. McDonnell Daniel Arnaldo Etienne Pelletier James A. Grant-Jacob Matthew Praeger Dimitris Karnakis Robert W. Eason Ben Mills Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining. 1471-1483 2021 32 J. Intell. Manuf. 5 https://doi.org/10.1007/s10845-020-01717-4 db/journals/jim/jim32.html#McDonnellAPGPKE21

Matthew Praeger Yunhui Xie James A. Grant-Jacob Robert W. Eason Ben Mills Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments. 35024 2021 2 Mach. Learn. Sci. Technol. 3 https://doi.org/10.1088/2632-2153/abf0f6 db/journals/mlst/mlst2.html#PraegerXGEM21

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 Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning. 46-53 2020 BIOIMAGING https://doi.org/10.5220/0008949700460053 conf/biostec/2020im db/conf/biostec/bioimaging2020.html#MackayBEXMPGELM20 Benita S. Mackay James A. Grant-Jacob Robert W. Eason Rohan M. Lewis Ben Mills Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta. 93-115 2020 BIOSTEC (Selected Papers) https://doi.org/10.1007/978-3-030-72379-8_6 https://www.wikidata.org/entity/Q136229448 conf/biostec/2020ccis db/conf/biostec/biostec2020ccis.html#MackayGELM20

Benita S. Mackay Matthew Praeger James A. Grant-Jacob Janos Kanczler Robert W. Eason Richard O. C. Oreffo Ben Mills Modeling adult skeletal stem cell response to laser-machined topographies through deep learning. 2020 abs/2006.00248 CoRR https://arxiv.org/abs/2006.00248 db/journals/corr/corr2006.html#abs-2006-00248

Matthew Praeger Yunhui Xie James A. Grant-Jacob Robert W. Eason Ben Mills Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments. 2020 abs/2011.04424 CoRR https://arxiv.org/abs/2011.04424 db/journals/corr/corr2011.html#abs-2011-04424

Daniel Arnaldo Sophie Blundell Richard M. Carter Mike J. Chantler Christophe Codemard Alexander F. Courtier Robert W. Eason Mustafa Suphi Erden M. J. Daniel Esser Olivia Etter James A. Grant-Jacob Paul Harrison Janos Kanczler Dimitris Karnakis Xianwen Kong Rohan M. Lewis Benita S. Mackay Michael D. T. McDonnell Richard O. C. Oreffo Etienne Pelletier Matthew Praeger Ildar Rakhmatulin Donald Risbridger David A. Robb 0001 Yunhui Xie Michalis N. Zervas