21 citations · 21 across the 1 of their papers we have counts for
3 papers
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati +4
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data t…
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Mohammad Nabati, Hojjat Navidan, Reza Shahbazian +2
Human-centered data collection is typically costly and implicates issues of privacy. Various solutions have been proposed in the literature to reduce this cost, such as crowdsource…
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian +2
Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities. By analyzing WiFi sig…