Roozbeh Razavi-Far
Orcid: 0000-0002-4330-3656
According to our database1,
Roozbeh Razavi-Far
authored at least 97 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Big Data, April, 2024
Resilient Finite-Time Consensus Tracking for Nonholonomic High-Order Chained-Form Systems Against DoS Attacks.
IEEE Trans. Cybern., February, 2024
2023
A Novel Fast Fixed-Time Backstepping Control of DC Microgrids Feeding Constant Power Loads.
IEEE Trans. Ind. Electron., June, 2023
Reinforcement Learning-Based Feedback and Weight-Adjustment Mechanisms for Consensus Reaching in Group Decision Making.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023
Label noise analysis meets adversarial training: A defense against label poisoning in federated learning.
Knowl. Based Syst., April, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
Observer-Based Backstepping Sliding Mode Control Design for Microgrids Feeding a Constant Power Load.
IEEE Trans. Ind. Electron., 2023
Blockchain-Enabled Trust Building for Managing Consensus in Linguistic Opinion Dynamics.
IEEE Trans. Fuzzy Syst., 2023
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids.
CoRR, 2023
Secure and Efficient Group Decision-Making with Blockchain-Based Consensus and Trust Management.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
Robust and Reliable Output Feedback Control for Uncertain Networked Control Systems Against Actuator Faults.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Robust ℓ₁-Controller Design for Discrete-Time Positive T-S Fuzzy Systems Using Dual Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems.
IEEE Trans. Inf. Forensics Secur., 2022
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System.
IEEE Trans. Dependable Secur. Comput., 2022
Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval.
IEEE Trans. Cybern., 2022
Decentralized Resilient Output-Feedback Control Design for Networked Control Systems Under Denial-of-Service.
IEEE Syst. J., 2022
Event-Triggered Adaptive Optimal Fast Terminal Sliding Mode Control Under Denial-of-Service Attacks.
IEEE Syst. J., 2022
Resilient Consensus Control Design for DC Microgrids against False Data Injection Attacks Using a Distributed Bank of Sliding Mode Observers.
Sensors, 2022
Knowl. Inf. Syst., 2022
Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making.
Inf. Sci., 2022
IEEE Internet Things J., 2022
Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies.
Inf. Fusion, 2022
CoRR, 2022
Secure Frequency Regulation of Electric Vehicle-connected Microgrid System under Multiple Latency Attacks.
Comput. Electr. Eng., 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
2021
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids.
IEEE Trans. Smart Grid, 2021
IEEE Trans. Reliab., 2021
IEEE Trans. Knowl. Data Eng., 2021
IEEE Trans. Ind. Electron., 2021
Improved Distributed Prescribed Finite-Time Secondary Control of Inverter-Based Microgrids: Design and Real-Time Implementation.
IEEE Trans. Ind. Electron., 2021
Regression Models With Graph-Regularization Learning Algorithms for Accurate Fault Location in Smart Grids.
IEEE Syst. J., 2021
Generative Adversarial Network-Based Scheme for Diagnosing Faults in Cyber-Physical Power Systems.
Sensors, 2021
Pattern Recognit. Lett., 2021
Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems.
Neurocomputing, 2021
Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems.
Eng. Appl. Artif. Intell., 2021
Biomed. Signal Process. Control., 2021
Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients.
IEEE Access, 2021
Robust Fault-Tolerant Control Design for Fuzzy Networked Control Systems with Data Drift and Sensor Failure.
Proceedings of the IECON 2021, 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
Proceedings of the IECON 2021, 2021
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
2020
Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data.
IEEE Trans. Smart Grid, 2020
Fault Location in Smart Grids Through Multicriteria Analysis of Group Decision Support Systems.
IEEE Trans. Ind. Informatics, 2020
Knowl. Based Syst., 2020
A dual approach for positive T-S fuzzy controller design and its application to cancer treatment under immunotherapy and chemotherapy.
Biomed. Signal Process. Control., 2020
Adv. Eng. Informatics, 2020
Secure Communication Based on Fractional Chaotic System by a Novel Robust Filter Algorithm.
Proceedings of the IEEE International Systems Conference, 2020
Proceedings of the IEEE International Systems Conference, 2020
Robust Terminal Sliding Mode Observer-Based Sensor Fault Estimation for Uncertain Nonlinear Systems.
Proceedings of the IEEE International Systems Conference, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Unknown Input Observers Design For Real-Time Mitigation of the False Data Injection Attacks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
A Comparative Assessment of Dimensionality Reduction Techniques for Diagnosing Faults in Smart Grids.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Robust finite-time stochastic stabilization and fault-tolerant control for uncertain networked control systems considering random delays and probabilistic actuator faults.
Trans. Inst. Meas. Control, 2019
A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions.
IEEE Trans. Ind. Informatics, 2019
A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments.
IEEE Trans. Ind. Electron., 2019
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems.
IEEE Trans. Ind. Electron., 2019
Robust Interval Type-2 Fuzzy Observer for Fault Detection of Networked Control Systems Subject to Immeasurable Premise Variables.
IEEE Syst. J., 2019
An integrated imputation-prediction scheme for prognostics of battery data with missing observations.
Expert Syst. Appl., 2019
Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout.
Circuits Syst. Signal Process., 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 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
Int. J. Artif. Intell. Tools, 2018
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018
Torsional Vibration Identification Using Electrical Signatures Analysis in Induction Machine-Based Systems.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 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
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018
2017
An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors.
IEEE Trans. Ind. Informatics, 2017
zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection.
IEEE Trans. Ind. Electron., 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Robust fault-tolerant control of uncertain networked control systems subject to random delays and data packet dropouts.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Fractional order unknown input filter design for fault detection of discrete linear systems.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
Ensemble of extreme learning machines for diagnosing bearing defects in non-stationary environments under class imbalance condition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 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
Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 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
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
A supervised cooperative clustering scheme for diagnosing process faults in an industrial plant.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Multiple Imputation of Missing Residuals for Fault Classification: A Wind Turbine Application.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 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
Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios.
Expert Syst. Appl., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2012
Proceedings of the IEEE International Conference on Control Applications, 2012
2011
Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions.
Reliab. Eng. Syst. Saf., 2011
2009
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks.
Neurocomputing, 2009