| IoT devices fingerprinting using deep learning H Jafari, O Omotere, D Adesina, HH Wu, L Qian MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 1-9, 2018 | 148 | 2018 |
| Adversarial machine learning in wireless communications using RF data: A review D Adesina, CC Hsieh, YE Sagduyu, L Qian IEEE Communications Surveys & Tutorials 25 (1), 77-100, 2022 | 139 | 2022 |
| Intrusion detection for IoT devices based on RF fingerprinting using deep learning J Bassey, D Adesina, X Li, L Qian, A Aved, T Kroecker 2019 Fourth International Conference on Fog and mobile edge computing (FMEC …, 2019 | 61 | 2019 |
| Underwater acoustic communication channel modeling using deep learning O Onasami, D Adesina, L Qian Proceedings of the 15th International Conference on Underwater Networks …, 2021 | 22 | 2021 |
| Practical radio frequency learning for future wireless communication systems D Adesina, J Bassey, L Qian MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 311-317, 2019 | 9 | 2019 |
| Aircraft location prediction using deep learning D Adesina, O Adagunodo, X Dong, L Qian MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 127-132, 2019 | 8 | 2019 |
| Robust deep radio frequency spectrum learning for future wireless communications systems D Adesina, J Bassey, L Qian IEEE Access 8, 148528-148540, 2020 | 6 | 2020 |
| Interfacing IEC 61850-9-2 Process Bus Data to a Simulation Environment DS Adesina | 1 | 2015 |
| FIRST QUARTER 2023 VOLUME 25 NUMBER 1 ICSTCF (ISSN 1553-877X) A Celik, I Romdhane, G Kaddoum, AM Eltawil, SM Hernandez, E Bulut, ... | | |
