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Copper and tin electrodeposition from deep eutectic solvents using pulse current
Creatore:
Su, Xiaomeng
Data:
2019
Department, School or Faculty:
Department of Chemical and Process Engineering
D-PorCCA, a new tool to study the acoustic life of harbour porpoises
Creatore:
Cosentino, Melania
Data:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering
A novel framework for enhancing marine dual fuel engines environmental and safety performance via digital twins
Creatore:
Stoumpos, Sokratis
Data:
2020
Department, School or Faculty:
Department of Naval Architecture, Ocean and Marine Engineering
Low-rate non-intrusive load monitoring approaches via graph signal processing
Creatore:
He, Kanghang
Data:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Experimental and modelling study on the release of potassium during biomass combustion
Creatore:
Cao, Wenhan
Data:
2020 and 2019
Department, School or Faculty:
Department of Chemical and Process Engineering
Cocaine in British colonial Burma: convergences of commerce, consumption, and control
Creatore:
Baker, Ian Archbald
Data:
2020
Funder:
Wellcome Trust
Department, School or Faculty:
Centre for the Social History of Health and Healthcare and School of Humanities
A liberating inheritance : Chinese Canadian and Japanese Canadian literature in English, 1970s-2000s
Creatore:
Liu, Zhen
Data:
2016
Department, School or Faculty:
School of Humanities and Department of English Studies
Mathematical modelling and analysis of industrial manufacturing of liquid crystal displays
Creatore:
Cousins, Joseph Robert Leonard
Data:
2021
Funder:
Merck KGaA
and
Engineering and Physical Sciences Research Council
Department, School or Faculty:
Department of Mathematics and Statistics
Synthesis and evaluation of novel small molecule inhibitors of the androgen receptor amino-terminal domain for the treatment of castration-resistant prostate cancer
Creatore:
Riley, Christopher
Data:
2021
Department, School or Faculty:
Department of Pure and Applied Chemistry
Using interpretable machine learning for indoor CO₂ level prediction and occupancy estimation
Creatore:
Ugwuanyi, Chika
Data:
2021
Funder:
SwarmOnline Limited
Department, School or Faculty:
Department of Computer and Information Sciences and Institute for Future Cities
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