Items where City Author is "Peeroo, Kaleem"
Peeroo, K. 
ORCID: 0000-0001-8601-4750, Stankovic, V. ORCID: 0000-0002-8740-6526, Popov, P. ORCID: 0000-0002-3434-5272 & Weyde, T. ORCID: 0000-0001-8028-9905 (2024).
Visualising the Impact of High-dimensional Configuration Parameters on the Performance of Data Distribution Service
Silkar, D., d'Avila Garcez, A. ORCID: 0000-0001-7375-9518, Bloomfield, R. ORCID: 0000-0002-2050-6151 , Weyde, T. ORCID: 0000-0001-8028-9905, Peeroo, K. ORCID: 0000-0001-8601-4750, Singh, N., Hutchinson, M., Laksono, D. ORCID: 0000-0002-8503-5274 & Reljan-Delaney, M. ORCID: 0009-0000-8722-9323 (2024).
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others.
In:
Computer Graphics & Visual Computing (CGVC).
CGVC, 12-13 Sep 2024, London, United Kingdom.
doi: 10.2312/cgvc.20241239
Peeroo, K. ORCID: 0000-0001-8601-4750, Popov, P. T. ORCID: 0000-0002-3434-5272, Stankovic, V. ORCID: 0000-0002-8740-6526 & Weyde, T. ORCID: 0000-0001-8028-9905 (2024).
Machine Learning for Performance Prediction of Data Distribution Service (DDS).
In:
2024 19th European Dependable Computing Conference (EDCC).
European Dependable Computing Conference, 8-11 Apr 2024, Leuven, Belgium.
doi: 10.1109/edcc61798.2024.00032
Peeroo, K. ORCID: 0000-0001-8601-4750, Popov, P. T. ORCID: 0000-0002-3434-5272, Stankovic, V. ORCID: 0000-0002-8740-6526 & Weyde, T. ORCID: 0000-0001-8028-9905 (2023).
Machine Learning for Performance Prediction of Data Distribution Service.
London, UK: City, University of London.
Król, M., Ascigil, O., Rene, S. , Rivière, E., Pigaglio, M., Peeroo, K. ORCID: 0000-0001-8601-4750, Stankovic, V. ORCID: 0000-0002-8740-6526, Sadre, R. & Lange, F. (2023).
Data Availability Sampling in Ethereum: Analysis of P2P Networking Requirements.
doi: 10.48550/arXiv.2306.11456
Peeroo, K. ORCID: 0000-0001-8601-4750, Popov, P. & Stankovic, V. ORCID: 0000-0002-8740-6526 (2022).
Exploring The Effects of Multicast Communication on DDS Performance.
Paper presented at the European Dependable Computing Conference, 12-15 Sep 2022, Zaragoza, Spain.