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Abdolreza Shirvani
Abdolreza Shirvani
PhD
Verified email at scs.carleton.ca
Title
Cited by
Cited by
Year
Novel solutions and applications of the object partitioning problem
A Shirvani
Carleton University, 2018
172018
On enhancing the object migration automaton using the pursuit paradigm
A Shirvani, BJ Oommen
Journal of computational science 24, 329-342, 2018
112018
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
72017
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
62020
On Invoking Transitivity to Enhance the Pursuit-oriented Object Migration Automata
A Shirvavni, BJ Oommen
IEEE Access, 2018
62018
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
62009
Designing linear phase fir filters with particle swarm optimization and harmony search
A Shirvani, K Khezri, F Razzazi, C Lucas
Signal Processing, Image Processing and Pattern Recognition: International …, 2009
52009
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
32009
Network performance metrics anomaly detection
A Shirvani, E Keddy, GA Leonard, CD Fridgen
US Patent 11,539,573, 2022
22022
Network performance metrics anomaly detection
A Shirvani, E Keddy, GA Leonard, CD Fridgen
US Patent 11,108,621, 2021
12021
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
12017
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
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Articles 1–13