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Maryam Farajzadeh-Zanjani
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2020 – today
- 2023
- [j9]Ehsan Hallaji
, Maryam Farajzadeh-Zanjani
Constrained Generative Adversarial Learning for Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 35(3): 2394-2405 (2023) - 2022
- [j8]Maryam Farajzadeh-Zanjani
Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System. IEEE Trans. Dependable Secur. Comput. 19(6): 4068-4081 (2022) - 2021
- [j7]Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems. Neurocomputing 440: 101-110 (2021) - [j6]Roozbeh Razavi-Far
Imputation-Based Ensemble Techniques for Class Imbalance Learning. IEEE Trans. Knowl. Data Eng. 33(5): 1988-2001 (2021) - [j5]Maryam Farajzadeh-Zanjani
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids. IEEE Trans. Smart Grid 12(4): 3468-3478 (2021) - [c11]Roozbeh Razavi-Far, Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Ranim Aljoudi, Mehrdad Saif:
A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems. IECON 2021: 1-6 - 2020
- [j4]Roozbeh Razavi-Far
Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data. IEEE Trans. Smart Grid 11(2): 1453-1464 (2020)
2010 – 2019
- 2019
- [j3]Roozbeh Razavi-Far
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems. IEEE Trans. Ind. Electron. 66(8): 6331-6342 (2019) - [j2]Roozbeh Razavi-Far
A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions. IEEE Trans. Ind. Informatics 15(3): 1277-1286 (2019) - [c10]Hossein Hassani
Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids. ICMLA 2019: 1420-1425 - 2018
- [c9]Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
A Critical Study on the Importance of Feature Extraction and Selection for Diagnosing Bearing Defects. MWSCAS 2018: 803-808 - 2017
- [j1]Roozbeh Razavi-Far
An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors. IEEE Trans. Ind. Informatics 13(6): 2758-2769 (2017) - [c8]Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Shokoofeh Zare, Mehrdad Saif
One-class classifiers for detecting faults in induction motors. CCECE 2017: 1-5 - [c7]Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
Dimensionality reduction-based diagnosis of bearing defects in induction motors. SMC 2017: 2539-2544 - 2016
- [c6]Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Shiladitya Chakrabarti, Mehrdad Saif
Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries. ICPHM 2016: 1-8 - [c5]Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors. IJCNN 2016: 4504-4511 - [c4]Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition. SSCI 2016: 1-7 - 2015
- [c3]Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering. ICMLA 2015: 935-940 - 2014
- [c2]Maryam Farajzadeh-Zanjani, Seyed Masoud Alavi Abhari
Group Key Exchange Protocol Based on Diffie-Hellman Technique in Ad-Hoc Network. SIN 2014: 166 - 2013
- [c1]Alexander G. Chefranov
Secure true random number generator in WLAN/LAN. SIN 2013: 331-335
Coauthor Index
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