The University of Southampton
University of Southampton Institutional Repository

Items where Division is "Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Vision, Learning and Control > Vision, Learning and Control (pre 2018 reorg)
School of Electronics and Computer Science > Vision, Learning and Control > Vision, Learning and Control (pre 2018 reorg)" and Year is 2019

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Authors/Creators | Item Type
Number of items: 6.

Repetitive control of electrical stimulation for tremor suppression - Engin Copur, Christopher Freeman, Bing Chu and Dina Laila
Type: Article | 2019

T-REx: A large scale alignment of natural language with knowledge base triples - Hady Elsahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon Hare, Elena Simperl and Frederique Laforest
Type: Conference or Workshop Item | 2019

Performance enhanced robust iterative learning control with experimental application to PMSM position tracking - Slawomir Mandra, Krzysztof Galkowski, Eric Rogers, Andreas Rauh and Harald Aschemann
Type: Article | 2019

Super-fine attributes with crowd prototyping - Daniel Martinho-Corbishley, Mark Nixon and John Carter
Type: Article | 2019

Type: Article | 2019

Type: Thesis | 2019 | University of Southampton

This list was generated on Wed Sep 28 17:24:12 2022 BST.
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×