Maryam Farajzadeh-Zanjani
Orcid: 0000-0001-8553-7680
According to our database1,
Maryam Farajzadeh-Zanjani
authored at least 20 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
IEEE Trans. Knowl. Data Eng., March, 2023
2022
Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System.
IEEE Trans. Dependable Secur. Comput., 2022
2021
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids.
IEEE Trans. Smart Grid, 2021
IEEE Trans. Knowl. Data Eng., 2021
Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems.
Neurocomputing, 2021
A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems.
Proceedings of the IECON 2021, 2021
2020
Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data.
IEEE Trans. Smart Grid, 2020
2019
A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions.
IEEE Trans. Ind. Informatics, 2019
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems.
IEEE Trans. Ind. Electron., 2019
Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
A Critical Study on the Importance of Feature Extraction and Selection for Diagnosing Bearing Defects.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018
2017
An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors.
IEEE Trans. Ind. Informatics, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016
2015
Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Proceedings of the 7th International Conference on Security of Information and Networks, 2014
2013
Proceedings of the 6th International Conference on Security of Information and Networks, 2013