A new tensioning method using deep reinforcement learning for surgical pattern cutting Nguyen, Thanh Thi, Nguyen, Ngoc Duy, Bello, Fernando and Nahavandi, Saeid 2019, A new tensioning method using deep reinforcement learning for surgical pattern cutting, in ICIT 2019 : IEEE International Conference on Industrial Technology, IEEE, Piscataway, N.J., pp. 1339-1344, doi: 10.1109/ICIT.2019.8755235. Attached Files Name Description MIMEType Size Downloads Title A new tensioning method using deep reinforcement learning for surgical pattern cutting Author(s) Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663 Nguyen, Ngoc Duy Bello, Fernando Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Industrial Technology. International Conference (2019 : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 2019/02/13 - 2019/02/15 Title of proceedings ICIT 2019 : IEEE International Conference on Industrial Technology Publication date 2019 Start page 1339 End page 1344 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. ISBN 9781538663769 Language eng DOI 10.1109/ICIT.2019.8755235 Indigenous content off Field of Research 080101 Adaptive Agents and Intelligent Robotics 080110 Simulation and Modelling Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©2019, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30128295 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Centre for Intelligent Systems Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 29 Jul 2019, 13:07:01 EST Mon, 29 Jul 2019, 13:08:37 EST Tue, 30 Jul 2019, 05:01:46 EST Tue, 30 Jul 2019, 06:02:57 EST Thu, 01 Aug 2019, 14:50:52 EST Thu, 01 Aug 2019, 14:52:46 EST Thu, 01 Aug 2019, 14:53:34 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 36 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 29 Jul 2019, 13:08:37 EST

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