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Filtering by: Date 2022 Date 2023 Funder Engineering and Physical Sciences Research Council

Automated quantitative inspection of nuclear assets and canisters

Creator:

Foster, Euan

Date:

2023 and 2022

Funder:

Engineering and Physical Sciences Research Council and National Nuclear Laboratory

Department, School or Faculty:

Department of Electronic and Electrical Engineering
Machine learning models for the prediction of pharmaceutical powder properties

Creator:

Diaz, Laura Pereira

Date:

2023 and 2022

Funder:

Engineering and Physical Sciences Research Council

Department, School or Faculty:

Strathclyde Institute of Pharmacy and Biomedical Sciences