Secure true random number generator in WLAN/LAN. - Alexander G. Chefranov; SeyedMasoud Alavi Abhari; Hooman Alavizadeh; Maryam Farajzadeh-Zanjani (SIN, 2013)

Group Key Exchange Protocol Based on Diffie-Hellman Technique in Ad-Hoc Network. - Maryam Farajzadeh-Zanjani; Seyed Masoud Alavi Abhari; Alexander G. Chefranov (SIN, 2014)

Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif; Jafar Zarei; Vasile Palade (ICMLA, 2015)

Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Shiladitya Chakrabarti; Mehrdad Saif (ICPHM, 2016)

Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif; Luis Rueda 001 (IJCNN, 2016)

Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif (SSCI, 2016)

One-class classifiers for detecting faults in induction motors. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Shokoofeh Zare; Mehrdad Saif; Jafar Zarei (CCECE, 2017)

Dimensionality reduction-based diagnosis of bearing defects in induction motors. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2017)

An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Mehrdad Saif (IEEE Trans. Ind. Informatics, 2017)

A Critical Study on the Importance of Feature Extraction and Selection for Diagnosing Bearing Defects. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif (MWSCAS, 2018)

Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids. - Hossein Hassani 003; Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif; Vasile Palade (ICMLA, 2019)

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems. - Roozbeh Razavi-Far; Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Mehrdad Saif; Shahin Hedayati Kia; Humberto Henao; Gérard-André Capolino (IEEE Trans. Ind. Electron., 2019)

A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions. - Roozbeh Razavi-Far; Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Mehrdad Saif (IEEE Trans. Ind. Informatics, 2019)

Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Mehrdad Saif; Shiladitya Chakrabarti (IEEE Trans. Smart Grid, 2020)

A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems. - Roozbeh Razavi-Far; Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Ranim Aljoudi; Mehrdad Saif (IECON, 2021)

Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems. - Maryam Farajzadeh-Zanjani; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (Neurocomputing, 2021)

Imputation-Based Ensemble Techniques for Class Imbalance Learning. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Boyu Wang 004; Mehrdad Saif; Shiladitya Chakrabarti (IEEE Trans. Knowl. Data Eng., 2021)

Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids. - Maryam Farajzadeh-Zanjani; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif; Masood Parvania (IEEE Trans. Smart Grid, 2021)

Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System. - Maryam Farajzadeh-Zanjani; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Trans. Dependable Secur. Comput., 2022)

Constrained Generative Adversarial Learning for Dimensionality Reduction. - Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Vasile Palade; Mehrdad Saif (IEEE Trans. Knowl. Data Eng., 2023)