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Publication search results
found 45 matches
- 2024
- Daniel J. Taylor, Harry Saxton, Ian Halliday, Tom Newman, Jeroen Feher, Rebecca Gosling, Andrew J. Narracott, Denise van Kemenade, Marcel van 't Veer, Pim A. L. Tonino, Michel Rochette, D. Rodney Hose, Julian P. Gunn, Paul D. Morris:
Evaluation of models of sequestration flow in coronary arteries - Physiology versus anatomy? Comput. Biol. Medicine 173: 108299 (2024) - Brendan Sungjin Halliday, Allyson Eastmure, Peter Ross Underhill, Thomas Walter Krause:
Detecting Near-Surface Sub-Millimeter Voids in Additively Manufactured Ti-5V-5Al-5Mo-3Cr Alloy Using a Transmit-Receive Eddy Current Probe. Sensors 24(13): 4183 (2024) - 2023
- Daniel R. van Niekerk, Anqi Xu, Branislav Gerazov, Paul Konstantin Krug, Peter Birkholz, Lorna F. Halliday, Santitham Prom-on, Yi Xu:
Simulating vocal learning of spoken language: Beyond imitation. Speech Commun. 147: 51-62 (2023) - Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zajac, Piotr Nowakowski, Andrew J. Narracott, Ian Halliday, Maciej Malawski:
Serverless Approach to Sensitivity Analysis of Computational Models. CCGrid 2023: 627-639 - Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zajac, Piotr Nowakowski, Andrew J. Narracott, Ian Halliday, Maciej Malawski:
Serverless Approach to Sensitivity Analysis of Computational Models. CoRR abs/2304.08190 (2023) - 2022
- Victor Pontes Santos, Yuri Nekan Soares Fontes, Felipe Alves Holanda, Tiago Halliday Goiana, João Carlos Machado Luz Simões, Davi Lopes Teixeira, Maria Andréia Formico Rodrigues:
Viral.izo: A game-based learning to foster resource management skills against emerging viral attacks. J. Interact. Syst. 13(1): 350-363 (2022) - Cédric Tubert, Pascal Mellot, Jose Sanches, Jeremie Teyssier, Valentin Rebière, Thibault Augey, Thomas Bouchet, Valerie Pena-Laroche, Adrien Bonnat, Marc Sanchez, Franck Hingant, Jean-Raphael Bezal, Patrick Laurent, Maxime Mellier, Jeannie Chinal, Matteo Fissore, Kevin Channon, James Downing, Calum Ritchie, Colin Campbell, William Halliday, Andy Price, Sivakumar K. Singaravadivelu, Paul Varillon, Arnaud Deleule, Lucas Hu, Robin Wu:
1.4kDots Consumer LiDAR up to 10m Based on Indirect Time-of-Flight Sensor. IEEE SENSORS 2022: 1-4 - Yi Xu, Anqi Xu, Daniel R. van Niekerk, Branislav Gerazov, Peter Birkholz, Paul Konstantin Krug, Santitham Prom-on, Lorna F. Halliday:
Evoc-Learn - High quality simulation of early vocal learning. INTERSPEECH 2022: 3665-3666 - 2020
- Gabriel Balaban, Caroline Mendonça Costa, Bradley Porter, Brian Halliday, Christopher A. Rinaldi, Sanjay K. Prasad, Gernot Plank, Tevfik F. Ismail, Martin J. Bishop:
3D Electrophysiological Modeling of Interstitial Fibrosis Networks and Their Role in Ventricular Arrhythmias in Non-Ischemic Cardiomyopathy. IEEE Trans. Biomed. Eng. 67(11): 3125-3133 (2020) - 2019
- Meaghan Elizabeth Spedden, Peter Jensen, Cecilie Ulbæk Terkildsen, Nicole Jacqueline Jensen, David M. Halliday, Jesper Lundbye-Jensen, Jens Bo Nielsen, Svend Sparre Geertsen:
The development of functional and directed corticomuscular connectivity during tonic ankle muscle contraction across childhood and adolescence. NeuroImage 191: 350-360 (2019) - Gabriel Balaban, Brian Halliday, Wenjia Bai, Bradley Porter, Carlotta Malvuccio, Pablo Lamata, Christopher A. Rinaldi, Gernot Plank, Daniel Rueckert, Sanjay K. Prasad, Martin J. Bishop:
Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. PLoS Comput. Biol. 15(10) (2019) - Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, Alan G. Millard, James A. Hilder, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network. IEEE Trans. Neural Networks Learn. Syst. 30(3): 865-875 (2019) - Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, James A. Hilder:
Autonomous Learning Paradigm for Spiking Neural Networks. ICANN (1) 2019: 737-744 - 2018
- Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(2): 687-699 (2018) - Gabriel Balaban, Caroline Mendonça Costa, Brian Halliday, Bradley Porter, Wenjia Bai, Gernot Plank, Christopher A. Rinaldi, Daniel Rueckert, Sanjay K. Prasad, Martin J. Bishop:
The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry. CinC 2018: 1-4 - Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson:
FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. ISCAS 2018: 1-5 - Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. SSCI 2018: 1076-1083 - Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs. VLSID 2018: 49-54 - 2017
- Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs. FPT 2017: 195-198 - Junxiu Liu, Liam McDaid, Jim Harkin, John J. Wade, Shvan Karim, Anju P. Johnson, Alan G. Millard, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks. ICONIP (6) 2017: 384-392 - Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson:
Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. ISVLSI 2017: 421-426 - 2016
- Paul Hewson, Joyce Halliday, Alex Gibson, Sheena Asthana:
Policy analytics need more than a spreadsheet: a case study in funding formulae. Ann. Oper. Res. 236(1): 215-232 (2016) - Leah A. Jackson-Blake, Andrew J. Wade, Martyn N. Futter, D. Butterfield, Raoul-Marie Couture, B. A. Cox, Jill Crossman, Petri Ekholm, S. J. Halliday, L. Jin, D. S. L. Lawrence, Ahti Lepistö, Yan Lin, Katri Rankinen, Paul G. Whitehead:
The INtegrated CAtchment model of phosphorus dynamics (INCA-P): Description and demonstration of new model structure and equations. Environ. Model. Softw. 83: 356-386 (2016) - Anju P. Johnson, David M. Halliday, Alan G. Millard, Andy M. Tyrrell, Jon Timmis, Junxiu Liu, Jim Harkin, Liam McDaid, Shvan Karim:
An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. SSCI 2016: 1-8 - 2015
- Mario Campanella, Rafael Halliday, Serge P. Hoogendoorn, Winnie Daamen:
Managing Large Flows in Metro Stations: The New Year Celebration in Copacabana. IEEE Intell. Transp. Syst. Mag. 7(1): 103-113 (2015) - Rebecca Simmonds, Paul Watson, Jonathan Halliday:
Antares: A Scalable, Real-Time, Fault Tolerant Data Store for Spatial Analysis. SERVICES 2015: 105-112 - 2014
- Rebecca Simmonds, Paul Watson, Jonathan Halliday, Paolo Missier:
A Platform for Analysing Stream and Historic Data with Efficient and Scalable Design Patterns. SERVICES 2014: 174-181 - 2013
- Giuseppe Pontrelli, Ian Halliday, Simone Melchionna, Timothy J. Spencer, Sauro Succi:
The Lattice Boltzmann Method and Multiscale Hemodynamics: Recent Advances and Persepectives. Simul. Notes Eur. 23(2): 59-70 (2013) - Mario Campanella, Rafael Halliday, Serge P. Hoogendoorn, Winnie Daamen:
Managing large flows in metro stations: Lessons learned from the New Year celebration in Copacabana. ITSC 2013: 243-248 - 2010
- Vance Threatt, Atchyuth Gorti, Jeff Rearick, Shaishav Parikh, Anirudh Kadiyala, Aditya Jagirdar, Andy Halliday:
Vendor-agnostic native compression engine. ITC 2010: 819
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