| Analysis of vulnerabilities, attacks, countermeasures and overall risk of the Automatic Dependent Surveillance-Broadcast (ADS-B) system MR Manesh, N Kaabouch International journal of critical infrastructure protection 19, 16-31, 2017 | 143 | 2017 |
| Detection of GPS spoofing attacks on unmanned aerial systems MR Manesh, J Kenney, WC Hu, VK Devabhaktuni, N Kaabouch 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2019 | 139 | 2019 |
| Cyber-attacks on unmanned aerial system networks: Detection, countermeasure, and future research directions MR Manesh, N Kaabouch Computers & Security 85, 386-401, 2019 | 82 | 2019 |
| Performance evaluation of spectrum sensing techniques for cognitive radio systems MR Manesh, MS Apu, N Kaabouch, WC Hu 2016 IEEE 7th annual ubiquitous computing, Electronics & Mobile …, 2016 | 54 | 2016 |
| Security threats and countermeasures of MAC layer in cognitive radio networks MR Manesh, N Kaabouch Ad Hoc Networks 70, 85-102, 2018 | 42 | 2018 |
| An optimized SNR estimation technique using particle swarm optimization algorithm MR Manesh, A Quadri, S Subramaniam, N Kaabouch 2017 IEEE 7th Annual Computing and Communication Workshop and Conference …, 2017 | 39 | 2017 |
| Real-time spectrum occupancy monitoring using a probabilistic model MR Manesh, S Subramaniam, N Kaabouch Computer Networks, 2017 | 31 | 2017 |
| A Bayesian approach to estimate and model SINR in wireless networks M Riahi Manesh, N Kaabouch, H Reyes, WC Hu International Journal of Communication Systems 30 (9), e3187, 2017 | 22 | 2017 |
| Performance comparison of machine learning algorithms in detecting jamming attacks on ADS-B devices MR Manesh, MS Velashani, E Ghribi, N Kaabouch 2019 IEEE International Conference on Electro Information Technology (EIT …, 2019 | 20 | 2019 |
| A preliminary effort toward investigating the impacts of ADS-B message injection attack MR Manesh, M Mullins, K Foerster, N Kaabouch 2018 IEEE Aerospace Conference, 1-6, 2018 | 20 | 2018 |
| Improved soft fusion-based cooperative spectrum sensing using particle swarm optimization M Akbari, MR Manesh, AA El-Saleh, M Ismail IEICE Electronics Express 9 (6), 436-442, 2012 | 20 | 2012 |
| Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms F Shahoveisi, M Riahi Manesh, LE del Río Mendoza Scientific Reports 12 (1), 864, 2022 | 19 | 2022 |
| Denoising signals in cognitive radio systems using an evolutionary algorithm based adaptive filter A Quadri, MR Manesh, N Kaabouch 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile …, 2016 | 19 | 2016 |
| Minimizing the detection error of cognitive radio networks using particle swarm optimization AA El-Saleh, M Ismail, M Akbari, MR Manesh, SART Zavareh 2012 International Conference on Computer and Communication Engineering …, 2012 | 18 | 2012 |
| A Bayesian model of the aggregate interference power in cognitive radio networks MR Manesh, N Kaabouch, H Reyes IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication …, 2016 | 16* | 2016 |
| Simulation testbeds and frameworks for UAV performance evaluation JS Gill, MS Velashani, J Wolf, J Kenney, MR Manesh, N Kaabouch 2021 ieee international conference on electro information technology (eit …, 2021 | 14 | 2021 |
| Mobile station localization in wireless cellular systems using UTDOA R Mardeni, P Shahabi, M Riahimanesh 2012 International Conference on Microwave and Millimeter Wave Technology …, 2012 | 13 | 2012 |
| Performance comparison of evolutionary algorithms for noise cancellation in cognitive radio systems A Quadri, MR Manesh, N Kaabouch IEEE Consumer Communications and Networking Conference, 1-6, 2017 | 11 | 2017 |
| Receiver diversity combining using evolutionary algorithms in rayleigh fading channel M Akbari, MR Manesh, AA El-Saleh, AW Reza The Scientific World Journal 2014, 2014 | 11 | 2014 |
| Interference modeling in cognitive radio networks: A survey MR Manesh, N Kaabouch arXiv preprint arXiv:1707.09391, 2017 | 8 | 2017 |
Adnan QuadriUniversity of Louisville,University of North DakotaΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα louisville.edu
