Amanda Whitbrook
Name | Amanda Whitbrook |
---|---|
Job title | Lecturer in Computing |
Research institute | Department of Electronics, Computing and Mathematics |
Research outputs
Addressing robustness in time-critical, distributed, task allocation algorithms.
Whitbrook, Amanda, Meng, Qinggang and Chung, Paul W. H. 2018. Addressing robustness in time-critical, distributed, task allocation algorithms. Applied Intelligence. https://doi.org/10.1007/s10489-018-1169-3A conceptual framework for combining artificial neural networks with computational aeroacoustics for design development.
McKee, Claire, Harmanto, Dani and Whitbrook, Amanda 2018. A conceptual framework for combining artificial neural networks with computational aeroacoustics for design development. Industrial Engineering and Operations Management Society (IEOM).Distributed task rescheduling with time constraints for the optimization of total task allocations in a multirobot system
Turner, Joanna, Meng, Qinggang, Schaefer, Gerald, Whitbrook, Amanda and Soltoggio, Andrea 2017. Distributed task rescheduling with time constraints for the optimization of total task allocations in a multirobot system. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2017.2743164A robust, distributed task allocation algorithm for time-critical, multi agent systems operating in uncertain environments
Whitbrook, Amanda, Meng, Qinggang and Chung, Paul W. H. 2017. A robust, distributed task allocation algorithm for time-critical, multi agent systems operating in uncertain environments.Reliable, distributed scheduling and rescheduling for time-critical, multiagent systems
Whitbrook, Amanda, Meng, Qinggang and Chung, Paul W. H. 2017. Reliable, distributed scheduling and rescheduling for time-critical, multiagent systems. IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/TASE.2017.2679278Model building
Lowdnes, Val, Berry, Stuart, Trovati, Marcello and Whitbrook, Amanda 2017. Model building. in: Springer.A cloud-based path-finding framework: Improving the performance of real-time navigation in games
Rowe, Jordan, Whitbrook, Amanda and Chen, Minsi 2017. A cloud-based path-finding framework: Improving the performance of real-time navigation in games. Association of Computing Machinery. https://doi.org/10.1145/3147234.3148097A novel distributed scheduling algorithm for time-critical multi-agent systems.
Whitbrook, Amanda, Meng, Qinggang and Chung, Paul W. H. 2015. A novel distributed scheduling algorithm for time-critical multi-agent systems. IEEE. https://doi.org/10.1109/IROS.2015.7354299Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence.
Figueredo, Grazziela P., Siebers, Peer-Olaf, Aickelin, Uwe, Whitbrook, Amanda and Garibaldi, Jonathan M. 2015. Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence. PLos ONE. https://doi.org/10.1371/journal.pone.0118359Data classification using the Dempster–Shafer method.
Chen, Qi, Whitbrook, Amanda, Aickelin, Uwe and Roadknight, Chris 2014. Data classification using the Dempster–Shafer method. Journal of Experimental & Theoretical Artificial Intelligence. https://doi.org/10.1080/0952813X.2014.886301433
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