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Dataset: Fibre-optic based particle sensing via deep learning

Type: Dataset | 2019 | University of Southampton

Fibre-optic based particle sensing via deep learning - James Grant-Jacob, Saurabh Jain, Yunhui Xie, Benita, Scout MacKay, Michael, David Tom McDonnell, Matthew Praeger, Matthew Loxham, David Richardson, Robert Eason and Benjamin Mills

Type: Article | 2019

Real-time particle pollution sensing using machine learning - James Grant-Jacob, Benita S. MacKay, James Baker, Daniel J. Heath, Yunhui Xie, Matthew Loxham, Robert W. Eason and Ben Mills

Type: Article | 2018

Patterned nanofoam fabrication from a variety of materials via femtosecond laser pulses - James Grant-Jacob, Benita S. MacKay, James Baker, Yunhui Xie, Michael D.T. McDonnell, Daniel Heath, Matthew Praeger, Robert W. Eason and Ben Mills

Type: Article | 2019

Dataset for: A neural lens for super-resolution biological imaging

Type: Dataset | 2019 | University of Southampton

A neural lens for super-resolution biological imaging - James Grant-Jacob, Benita, Scout MacKay, Yunhui Xie, Daniel J Heath, Matthew Loxham, Robert Eason and Benjamin Mills

Type: Article | 2019

Dataset for Real-time particle pollution sensing using machine learning

Type: Dataset | 2018 | University of Southampton

Bioaerosol sensing using deep learning - James Grant-Jacob, Yunhui Xie, Benita, Scout MacKay, Michael, David Tom McDonnell, Matthew Praeger, Matthew Loxham, Robert Eason and Benjamin Mills

Type: Conference or Workshop Item | 2019

Super-resolution imaging using deep learning - James Grant-Jacob, Yunhui Xie, Benita, Scout MacKay, Michael, David Tom McDonnell, Matthew Praeger, Matthew Loxham, Robert Eason and Benjamin Mills

Type: Conference or Workshop Item | 2019

Dataset for Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi

Type: Dataset | 2019 | University of Southampton

Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi - James Grant-Jacob, Yunhui Xie, Benita, Scout MacKay, Matthew Praeger, Michael, David Tom McDonnell, Daniel J Heath, Matthew Loxham, Robert Eason and Benjamin Mills

Type: Article | 2019

Deep learning for real-time air and marine particle pollution sensing - James Grant-Jacob, Yunhui Xie, Michael, David Tom McDonnell, Robert Eason, Matthew Loxham, Benita, Scout MacKay, Benjamin Mills, Daniel Heath and Matthew Praeger

Type: Conference or Workshop Item | 2019

Machine learning for 3D simulated visualization of laser machining - Daniel Heath, James Grant-Jacob, Yunhui Xie, Benita, Scout MacKay, James Baker, Robert Eason and Benjamin Mills

Type: Article | 2018

Data for 'Machine learning for 3D simulated visualization of laser machining'

Type: Dataset | 2018 | University of Southampton

Closed-loop corrective beam shaping for laser processing of curved surfaces - Daniel Heath, Benita S. MacKay, James Grant-Jacob, Yunhui Xie, Richard Oreffo, Robert Eason and Benjamin Mills

Type: Article | 2018

Dataset for Closed-Loop Corrective Beam Shaping for Laser Processing of Curved Surfaces

Type: Dataset | 2018 | University of Southampton

Automated 3D labelling of fibroblasts and endothelial cells in SEM-imaged placenta using deep learning - Benita MacKay, Sophie Blundell, Olivia Etter, Yunhui Xie, Michael, David Tom McDonnell, Matthew Praeger, James Grant-Jacob, R.W. Eason, Rohan Lewis and Benjamin Mills

Type: Conference or Workshop Item | 2020 | SciTePress

Labelling, modelling, and predicting cell biocompatibility using deep neural networks - Benita Scout MacKay

Type: Thesis | 2021 | University of Southampton

Deep learning for the automated feature labelling of 3-Dimensional Imaged Placenta - Benita Scout MacKay, James Grant-Jacob, R.W. Eason, Rohan Lewis and Benjamin Mills

Type: Book Section | 2021 | Springer | Item availability restricted.

Data for the article "The Future of Bone Regeneration: Integrating AI into Tissue Engineering"

Type: Dataset | 2021 | University of Southampton

Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning"

Type: Dataset | 2020 | University of Southampton

Modeling adult skeletal stem cell response to laser-machined topographies through deep learning - Benita Scout MacKay, Matthew Praeger, James Grant-Jacob, Janos Kanczler, Robert Eason, Richard Oreffo and Benjamin Mills

Type: Article | 2020

Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning - Benita, Scout MacKay, Sophie Blundell, Rohan Lewis, Olivia Etter, Yunhui Xie, Michael, David Tom McDonnell, Matthew Praeger, James Grant-Jacob, Robert Eason and Benjamin Mills

Type: Conference or Workshop Item | 2019

The future of bone regeneration: integrating AI into tissue engineering - Benita, Scout MacKay, Karen Marshall, James Grant-Jacob, Janos Kanczler, Robert W. Eason, Richard Oreffo and Benjamin Mills

Type: Article | 2021

Data supporting University of Southampton Doctoral Thesis 'Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks'

Type: Dataset | 2022 | University of Southampton

Modelling laser machining of nickel with spatially shaped three pulse sequences using deep learning - Michael, David Tom McDonnell, James Grant-Jacob, Yunhui Xie, Matthew Praeger, Benita, Scout MacKay, R.W. Eason and Benjamin Mills

Type: Article | 2020

Particulates sensing using optical fibres and deep learning - Benjamin Mills, James Grant-Jacob, Saurabh Jain, Yunhui Xie, Benita, Scout MacKay, Michael, David Tom McDonnell, Matthew Praeger, Matthew Loxham, David Richardson and Robert Eason

Type: Conference or Workshop Item | 2020 | Item not available on this server.

Modelling of 3D placental cell features using deep learning - Benjamin Mills, James Grant-Jacob, Benita, Scout MacKay, Rohan Lewis and Bram Sengers

Type: Conference or Workshop Item | 2022

Neural networks for predictive laser machining capabilities - Benjamin Mills, Daniel Heath, James Grant-Jacob, Benita, Scout MacKay and Robert Eason

Type: Conference or Workshop Item | 2019 | SPIE | Item not available on this server.

Image-based monitoring of high-precision laser machining via a convolutional neural network - Benjamin Mills, Daniel Heath, James Grant-Jacob, Yunhui Xie, Benita, Scout MacKay and Robert Eason

Type: Conference or Workshop Item | 2019 | Item not available on this server.

LAISER: Putting the AI in Laser - Benjamin Mills, Daniel J Heath, Yunhui Xie, Benita Scout MacKay, Michael David Tom McDonnell, Matthew Praeger, James Grant-Jacob and R.W. Eason

Type: Conference or Workshop Item | 2019 | Item not available on this server.

Particle Sensing via Deep Learning - Benjamin Mills, Saurabh Jain, Yunhui Xie, Benita Scout MacKay, Michael David Tom McDonnell, Matthew Praeger, David J. Richardson, R.W. Eason and James Grant-Jacob

Type: Conference or Workshop Item | 2020 | Item not available on this server.

Deep learning for 3D modelling of multiple pulse femtosecond ablation - Benjamin Mills, Michael, David Tom McDonnell, Daniel Heath, Yunhui Xie, James Grant-Jacob, Benita, Scout MacKay, Matthew Praeger and Robert Eason

Type: Conference or Workshop Item | 2019 | Item not available on this server.

Data for 'Deep learning for the monitoring and process control of femtosecond laser machining'

Type: Dataset | 2019 | University of Southampton

Smart lasers for manufacturing of the future - Yunhui Xie, Daniel Heath, James Grant-Jacob, Benita, Scout MacKay, Michael, David Tom McDonnell, Matthew Praeger, Robert Eason and Benjamin Mills

Type: Conference or Workshop Item | 2019 | Item not available on this server.

Deep learning for the monitoring and process control of femtosecond laser machining - Yunhui Xie, Daniel J Heath, James Grant-Jacob, Benita, Scout MacKay, Michael, David Tom McDonnell, Matthew Praeger, Robert Eason and Benjamin Mills

Type: Article | 2019

This list was generated on Mon Jan 12 03:36:23 2026 GMT.

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