| Automatic Modulation Recognition in Wireless Multi-carrier Wireless Systems with Cepstral Features MEHMKMAENRMAMHAEKWHMMAEESMERMIDSAAFEA El-Samie Wireless Pers Commun, 2014 | 23* | 2014 |
| Wireless modulation classification based on Radon transform and convolutional neural networks HS Ghanem, RM Al-Makhlasawy, W El-Shafai, M Elsabrouty, HFA Hamed, ... Journal of Ambient Intelligence and Humanized Computing 14 (5), 6263-6272, 2023 | 14 | 2023 |
| Modulation classification in the presence of adjacent channel interference using convolutional neural networks RM Al‐Makhlasawy, AA Hefnawy, MM Abd Elnaby, FE Abd El‐Samie International Journal of Communication Systems 33 (13), e4295, 2020 | 14 | 2020 |
| An efficient modulation classification method using signal constellation diagrams with convolutional neural networks, Gabor filtering, and thresholding MA Abdel‐Moneim, RM Al‐Makhlasawy, N Abdel‐Salam Bauomy, ... Transactions on Emerging Telecommunications Technologies 33 (5), e4459, 2022 | 10 | 2022 |
| Automatic modulation recognition in OFDM systems using cepstral analysis and a fuzzy logic interface RM Al-Makhlasawy, MM Abd Elnaby, HA El-Khobby, FE Abd El-Samie 2012 8th International Conference on Informatics and Systems (INFOS), CC-56 …, 2012 | 7 | 2012 |
| Modulation format recognition based on constellation diagrams and the Hough transform SEDN Mohamed, RM Al-Makhlasawy, AAM Khalaf, MI Dessouky, ... Applied Optics 60 (30), 9380-9389, 2021 | 6 | 2021 |
| C24. Automatic modulation recognition in wireless systems using cepstral analysis and neural networks RM Al-Makhlasawy, MM Abd Elnaby, HA El-Khobby 2012 29th National Radio Science Conference (NRSC), 353-362, 2012 | 6 | 2012 |
| Deep learning for wireless modulation classification based on discrete wavelet transform RM Al‐Makhlasawy, HS Ghanem, HM Kassem, M Elsabrouty, ... International Journal of Communication Systems 34 (18), e4980, 2021 | 4 | 2021 |
| A reliable image compression algorithm based on block luminance adopting deep learning for video surveillance application M Khairy, RM Al-Makhlasawy Journal of Electrical Systems and Information Technology 9 (1), 21, 2022 | 3 | 2022 |
| Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks RM Al-Makhlasawy, M Khairy, W El-Shafai EURASIP Journal on Advances in Signal Processing 2023 (1), 120, 2023 | 1 | 2023 |
| Efficient utilization of Hough transform and orthogonal-triangular decomposition for optical wireless modulation format recognition SEDN Mohamed, RM Al-Makhlasawy, M Abdelaziz, AAM Khalaf, ... Applied Optics 61 (4), 875-883, 2022 | 1 | 2022 |
| New Joint Channel Estimation and Interference Cancellation Method for FBMC Systems Based on Recurrent Neural Networks R Al-Makhlasawy, M Khairy | | 2023 |
| PERFORMANCE ANALYSIS AND EVALUATION OF IMAGE CLASSIFICATION MODELS USING MACHINE LEARNING R Al-Makhlasawy | | 2022 |
| Blind Coding Classification in the Presence of Interference in MIMO Systems using ML Algorithm RM Al-Makhlasawy, AA Hefnawy, MMA Elnaby, FEA El-Samie | | 2019 |
Walaa HamoudaProfessor, Concordia University Research Chair in Wireless Communications and Networks, ECE Dept.Verified email at concordia.ca
