Grant-Jacob, James (2019) Data for 'Patterned nanofoam fabrication from a variety of materials via femtosecond laser pulses'. University of Southampton doi:10.5258/SOTON/D0753 [Dataset]
Grant-Jacob, James, Xie, Yunhui, McDonnell, Michael, David Tom, Eason, Robert, Loxham, Matthew, MacKay, Benita, Scout, Mills, Benjamin, Heath, Daniel and Praeger, Matthew (2019) Deep learning for real-time air and marine particle pollution sensing. Clean Air Futures: working together for cleaner air, , Southampton, United Kingdom. 22 Mar 2019.
Mills, Benjamin, McDonnell, Michael, David Tom, Heath, Daniel, Xie, Yunhui, Grant-Jacob, James, MacKay, Benita, Scout, Praeger, Matthew and Eason, Robert (2019) Deep learning for 3D modelling of multiple pulse femtosecond ablation. In 15th International Conference on Laser Ablation (COLA) 2019.
Grant-Jacob, James, MacKay, Benita S., Baker, James, Xie, Yunhui, McDonnell, Michael D.T., Heath, Daniel, Praeger, Matthew, Eason, Robert W. and Mills, Ben (2019) Patterned nanofoam fabrication from a variety of materials via femtosecond laser pulses. Materials Sciences and Applications, 186-196. (doi:10.4236/msa.2019.103015).
Xie, Yunhui, Heath, Daniel, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Smart lasers for manufacturing of the future. FEPS IoT Showcase. 05 Apr 2019.
Grant-Jacob, James (2019) Dataset for Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi. University of Southampton doi:10.5258/SOTON/D0758 [Dataset]
Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, Praeger, Matthew, McDonnell, Michael, David Tom, Heath, Daniel J, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi. Environmental Research Communications, 1 (1). (doi:10.1088/2515-7620/ab14c9).
Xie, Yunhui, Heath, Daniel J, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Deep learning for the monitoring and process control of femtosecond laser machining. Journal of Physics: Photonics, 1 (3), 1-10, [3]. (doi:10.1088/2515-7647/ab281a).
Xie, Yunhui, Heath, Daniel, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Data for 'Deep learning for the monitoring and process control of femtosecond laser machining'. University of Southampton doi:10.5258/SOTON/D0754 [Dataset]
Mills, Benjamin, Grant-Jacob, James, Jain, Saurabh, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Richardson, David and Eason, Robert (2020) Particulates sensing using optical fibres and deep learning. SPIE Photonics West, The Moscone Center, United States. 01 - 06 Feb 2020.
MacKay, Benita, Scout, Blundell, Sophie, Lewis, Rohan, Etter, Olivia, Xie, Yunhui, McDonnell, Michael, David Tom, Praeger, Matthew, Grant-Jacob, James, Eason, Robert and Mills, Benjamin (2019) Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning. In SPIE : Medical Imaging 2020. SPIE.. (Submitted)
Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) Super-resolution imaging using deep learning. IOP - Physics Meets Biology, United Kingdom. 08 - 11 Sep 2019.
Grant-Jacob, James, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Eason, Robert and Mills, Benjamin (2019) Bioaerosol sensing using deep learning. IOP - Physics Meets Biology, United Kingdom. 08 - 11 Sep 2019.
Grant-Jacob, James, Jain, Saurabh, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Richardson, David, Eason, Robert and Mills, Benjamin (2019) Fibre-optic based particle sensing via deep learning. Journal of Physics: Photonics.
Grant-Jacob, James (2019) Dataset: Fibre-optic based particle sensing via deep learning. University of Southampton doi:10.5258/SOTON/D0759 [Dataset]
MacKay, Benita, Scout, Blundell, Sophie, Lewis, Rohan, Etter, Olivia, Xie, Yunhui, McDonnell, Michael, David Tom, Praeger, Matthew, Grant-Jacob, James, Eason, Robert and Mills, Benjamin (2019) Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning. The Southampton Machine Intelligence Showcase 2019, University of Southampton, United Kingdom. 22 Oct 2019. 1 pp .
MacKay, Benita, Blundell, Sophie, Etter, Olivia, Xie, Yunhui, McDonnell, Michael, David Tom, Praeger, Matthew, Grant-Jacob, James, Eason, R.W., Lewis, Rohan and Mills, Benjamin (2020) Automated 3D labelling of fibroblasts and endothelial cells in SEM-imaged placenta using deep learning. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING. Science and Technology Publications, Lda. pp. 46-53 . (doi:10.5220/0008949700460053).
McDonnell, Michael, David Tom, Grant-Jacob, James, Xie, Yunhui, Praeger, Matthew, MacKay, Benita, Scout, Eason, R.W. and Mills, Benjamin (2020) Modelling laser machining of nickel with spatially shaped three pulse sequences using deep learning. Optics Express, 28 (10), 14627-14637. (doi:10.1364/OE.381421).
McDonnell, Michael David Tom (2021) Dataset for: Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining. University of Southampton doi:10.5258/SOTON/D1687 [Dataset]
Telephone: +44 (0) 23 8059 7427551811
Email: mdtm1g14@soton.ac.uk