3-D Graphical Representation for Indoor Objects Based on A Bayesian Model T Elderini, N Kaabouch, J Neubert NAECON 2018-IEEE National Aerospace and Electronics Conference, 425-430, 2018 | | 2018 |
A 2-D gel electrophoresis DNA image analysis algorithm with automatic thresholding N Kaabouch, RR Schultz Visual Communications and Image Processing 2007 6508, 528-539, 2007 | 7 | 2007 |
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 |
A Bayesian inference method for estimating the channel occupancy H Reyes, S Subramaniam, N Kaabouch, WC Hu 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile …, 2016 | 14 | 2016 |
A Bayesian model of the aggregate interference power in cognitive radio networks MR Manesh, N Kaabouch, H Reyes, WC Hu 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile …, 2016 | 11 | 2016 |
A Bayesian network model of the bit error rate for cognitive radio networks H Reyes, S Subramaniam, N Kaabouch 2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON …, 2015 | 19 | 2015 |
A Bayesian Network Model of the Bit Error Rate: Its Application in Cognitive Radios H Reyes, S Subramaniam, N Kaabouch | | |
A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks F Salahdine, N Kaabouch, H El Ghazi International Journal of Communication Systems 30 (15), e3314, 2017 | 27 | 2017 |
A bit error rate estimation method for wireless communication systems MR Manesh, Y Arjoune, N Kaabouch 2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018 | 7 | 2018 |
A Cognitive Radio Engine for Improving the Reliability and Security of UAS/UAV Networks H Reyes, N Gellerman, N Kaabouch | | |
A cognitive radio system for improving the reliability and security of UAS/UAV networks H Reyes, N Gellerman, N Kaabouch 2015 IEEE Aerospace Conference, 1-9, 2015 | 48 | 2015 |
A comparative analysis of supervised and unsupervised models for detecting attacks on the intrusion detection systems T Talaei Khoei, N Kaabouch Information 14 (2), 103, 2023 | 21 | 2023 |
A comparative analysis of supervised and unsupervised models for detecting gps spoofing attack on uavs TT Khoei, A Gasimova, MA Ahajjam, K Al Shamaileh, V Devabhaktuni, ... 2022 IEEE International Conference on Electro Information Technology (eIT …, 2022 | 12 | 2022 |
A comparative analysis of the ensemble models for detecting gps spoofing attacks on uavs A Gasimova, TT Khoei, N Kaabouch 2022 IEEE 12th Annual Computing and Communication Workshop and Conference …, 2022 | 11 | 2022 |
A Comparative Analysis of Two Deep Learning Neural Networks for Defect Detection in Steel Structures Using UAS R Mitra, A Das, J Heichel, S Dorafshan, N Kaabouch 2023 IEEE International Conference on Electro Information Technology (eIT …, 2023 | | 2023 |
A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks S Ismail, TT Khoei, R Marsh, N Kaabouch 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …, 2021 | 26 | 2021 |
A comprehensive survey on spectrum sensing in cognitive radio networks: Recent advances, new challenges, and future research directions Y Arjoune, N Kaabouch Sensors 19 (1), 126, 2019 | 403 | 2019 |
A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions TT Khoei, HO Slimane, N Kaabouch arXiv preprint arXiv:2207.07738, 2022 | 25 | 2022 |
A constrained topological decomposition method for the next-generation smart grid AS Nair, P Ranganathan, N Kaabouch 2017 Second International Conference on Electrical, Computer and …, 2017 | 5 | 2017 |
A continued DR Andersen, K Athre, GN Aryal, S Aslan, İ AsiltürN, GE AtNin, G AtNin, ... | | |