| Novel solutions and applications of the object partitioning problem A Shirvani Carleton University, 2018 | 17 | 2018 |
| On enhancing the object migration automaton using the pursuit paradigm A Shirvani, BJ Oommen Journal of computational science 24, 329-342, 2018 | 10 | 2018 |
| On utilizing the pursuit paradigm to enhance the deadlock-preventing object migration automaton A Shirvani, BJ Oommen 2017 International Conference on New Trends in Computing Sciences (ICTCS …, 2017 | 6 | 2017 |
| Short term load forecasting of Iran’s power systems with neuro-fuzzy application and SSA analysis H Chegini, A Shirvani, MM Pedram, GR Yousefi, C Lucas 7th Int. Cof. Comp. Sci. Inf. Tech, 2000-2004, 2009 | 6 | 2009 |
| On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm A Shirvani, BJ Oommen Pattern Analysis and Applications 23 (2), 509-526, 2020 | 5 | 2020 |
| On Invoking Transitivity to Enhance the Pursuit-oriented Object Migration Automata A Shirvavni, BJ Oommen IEEE Access, 2018 | 5 | 2018 |
| Designing linear phase fir filters with particle swarm optimization and harmony search A Shirvani, K Khezri, F Razzazi, C Lucas International Conference on Signal Processing, Image Processing, and Pattern …, 2009 | 5 | 2009 |
| Polynomial kernel function and its application in locally polynomial neurofuzzy models A Shirvani, H Chegini, S Setayeshi, C Lucas 2009 14th International CSI Computer Conference, 54-59, 2009 | 4 | 2009 |
| Network performance metrics anomaly detection A Shirvani, E Keddy, GA Leonard, CD Fridgen US Patent 11,539,573, 2022 | 3 | 2022 |
| Network performance metrics anomaly detection A Shirvani, E Keddy, GA Leonard, CD Fridgen US Patent 11,108,621, 2021 | 3 | 2021 |
| Partitioning in signal processing using the object migration automaton and the pursuit paradigm A Shirvani, BJ Oommen 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 1 | 2017 |
| Network performance metrics anomaly detection A Shirvani, E Keddy, GA Leonard, CD Fridgen US Patent 11,924,049, 2024 | | 2024 |
| The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data A Shirvani, BJ Oommen International Conference on Engineering Applications of Neural Networks, 3-16, 2019 | | 2019 |
| AI Anomaly Detection-Active Learning J Macintyre, I Maglogiannis, L Iliadis, E Pimenidis, A Shirvani, ... Emotion 120, 126, 0 | | |
B. John OommenCarleton UniversityVerified email at scs.carleton.ca
