| Wavelet domain dictionary learning-based single image superresolution M Nazzal, H Ozkaramanli Signal, Image and Video Processing 9 (7), 1491-1501, 2015 | 40 | 2015 |
| Primary user emulation and jamming attack detection in cognitive radio via sparse coding HM Furqan, MA Aygül, M Nazzal, H Arslan EURASIP Journal on Wireless Communications and Networking 2020 (1), 141, 2020 | 33 | 2020 |
| Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness F Yeganli, M Nazzal, M Unal, H Ozkaramanli Signal, Image and Video Processing 10 (3), 535-542, 2016 | 27 | 2016 |
| Deep learning-based optimal RIS interaction exploiting previously sampled channel correlations MA Aygül, M Nazzal, H Arslan 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021 | 22 | 2021 |
| Adversarial attacks and defenses for social network text processing applications: Techniques, challenges and future research directions I Alsmadi, K Ahmad, M Nazzal, F Alam, A Al-Fuqaha, A Khreishah, ... arXiv preprint arXiv:2110.13980, 2021 | 21 | 2021 |
| Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM MA Aygül, M Nazzal, AR Ekti, A Görçin, DB da Costa, HF Ateş, H Arslan 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020 | 21 | 2020 |
| Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle F Yeganli, M Nazzal, H Ozkaramanli Signal, Image and Video Processing 9 (1), 285-293, 2015 | 17 | 2015 |
| Adversarial machine learning in text processing: a literature survey I Alsmadi, N Aljaafari, M Nazzal, S Alhamed, AH Sawalmeh, CP Vizcarra, ... IEEE Access 10, 17043-17077, 2022 | 16 | 2022 |
| Efficient spectrum occupancy prediction exploiting multidimensional correlations through composite 2D-LSTM models MA Aygül, M Nazzal, Mİ Sağlam, DB da Costa, HF Ateş, H Arslan Sensors 21 (1), 135, 2020 | 16 | 2020 |
| Exploiting sparsity recovery for compressive spectrum sensing: A machine learning approach M Nazzal, AR Ektí, A Görçin, H Arslan IEEE Access 7, 126098-126110, 2019 | 14 | 2019 |
| Image super-resolution via sparse representation over coupled dictionary learning based on patch sharpness F Yeganli, M Nazzal, M Unal, H Ozkaramanli 2014 European Modelling Symposium, 203-208, 2014 | 14 | 2014 |
| Single image super resolution based on sparse representation via directionally structured dictionaries F Farhadifard, E Abar, M Nazzal, H Ozkaramanh 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 14 | 2014 |
| Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array M Nazzal, MA Aygül, A Görçin, H Arslan 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 13 | 2019 |
| Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation F Yeganli, M Nazzal, H Ozkaramanli 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 11 | 2016 |
| Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation F Yeganli, M Nazzal, H Ozkaramanli 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 11 | 2016 |
| Adversarial nlp for social network applications: Attacks, defenses, and research directions I Alsmadi, K Ahmad, M Nazzal, F Alam, A Al-Fuqaha, A Khreishah, ... IEEE Transactions on Computational Social Systems 10 (6), 3089-3108, 2022 | 10 | 2022 |
| Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation F Yeganli, M Nazzal, H Ozkaramanli 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 10 | 2015 |
| Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain M Nazzal, H Ozkaramanli 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 7 | 2013 |
| Semi-decentralized inference in heterogeneous graph neural networks for traffic demand forecasting: An edge-computing approach M Nazzal, A Khreishah, J Lee, S Angizi, A Al-Fuqaha, M Guizani IEEE Transactions on Vehicular Technology, 2024 | 6 | 2024 |
| Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems MA Aygül, HM Furqan, M Nazzal, H Arslan 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020 | 6 | 2020 |
Huseyin ArslanProfessor, Istanbul Medipol University在 medipol.edu.tr 的电子邮件经过验证
