An iterative scheme for the power-flow analysis of distribution networks based on decoupled circuit equivalents in the phasor domain ZA Memon, R Trinchero, Y Xie, FG Canavero, IS Stievano Energies 13 (2), 386, 2020 | 26 | 2020 |
Compressed machine learning models for the uncertainty quantification of power distribution networks ZA Memon, R Trinchero, P Manfredi, F Canavero, IS Stievano Energies 13 (18), 4881, 2020 | 12 | 2020 |
Reversible-enhanced stego block chaining image steganography: A highly efficient data hiding technique S Khan, MA Irfan, A Arif, A Ali, ZA Memon, A Khaliq Canadian Journal of Electrical and Computer Engineering 43 (2), 66-72, 2020 | 9 | 2020 |
Machine Learning for the Uncertainty Quantification of Power Networks ZA Memon, R Trinchero, P Manfredi, F Canavero, IS Stievano, Y Xie IEEE Letters on Electromagnetic Compatibility Practice and Applications 2 (4 …, 2020 | 6 | 2020 |
Scalability of blockchain: a comprehensive review and future research direction IS Rao, ML Kiah, MM Hameed, ZA Memon Cluster Computing, 1-24, 2024 | 2 | 2024 |
Single image super resolution technique: an extension to true color images MA Irfan, S Khan, A Arif, K Khan, A Khaliq, ZA Memon, M Ismail Symmetry 11 (4), 464, 2019 | 2 | 2019 |
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads P Manfredi, R Trinchero, ZA Memon, IS Stievano International Journal of Circuit Theory and Applications 52 (4), 1597-1606, 2024 | | 2024 |
Novel Modeling and Simulation Concepts for Power Distribution Networks Z Memon Politecnico di Torino, 2021 | | 2021 |
Real time monitoring and supervisory control of distribution load based on generic load allocation: a smart grid solution AA Memon, ZA Memon, RR Aamir Mehran University Research Journal of Engineering & Technology 33 (2), 2014 | | 2014 |
Segmentation of Melanoma and Non-Melanoma Skin Images Using Integrated k-Means Clustering and Local Gaussian Distribution Fitting N Badshah, N Minallah, M Ashfaq, MA Irfan, A Ahmad, MU Hassan, ... | | |