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Damilola Adesina
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2020 – today
- 2023
- [j2]Damilola Adesina
, Chung-Chu George Hsieh, Yalin E. Sagduyu
, Lijun Qian
:
Adversarial Machine Learning in Wireless Communications Using RF Data: A Review. IEEE Commun. Surv. Tutorials 25(1): 77-100 (2023) - [c6]Lee Martie, Jessie Rosenberg, Veronique Demers, Gaoyuan Zhang, Onkar Bhardwaj, John Henning, Aditya Prasad, Matt Stallone, Ja Young Lee, Lucy Yip, Damilola Adesina, Elahe Paikari, Oscar Resendiz, Sarah Shaw, David Cox:
Rapid Development of Compositional AI. ICSE (NIER) 2023: 78-83 - [i1]Lee Martie, Jessie Rosenberg, Veronique Demers, Gaoyuan Zhang, Onkar Bhardwaj, John Henning, Aditya Prasad, Matt Stallone, Ja Young Lee, Lucy Yip, Damilola Adesina, Elahe Paikari, Oscar Resendiz, Sarah Shaw, David Cox:
Rapid Development of Compositional AI. CoRR abs/2302.05941 (2023) - 2021
- [c5]Oluwaseyi Onasami
, Damilola Adesina, Lijun Qian:
Underwater Acoustic Communication Channel Modeling using Deep Learning. WUWNet 2021: 9:1-9:8 - 2020
- [j1]Damilola Adesina
, Joshua Bassey, Lijun Qian
:
Robust Deep Radio Frequency Spectrum Learning for Future Wireless Communications Systems. IEEE Access 8: 148528-148540 (2020)
2010 – 2019
- 2019
- [c4]Joshua Bassey, Damilola Adesina, Xiangfang Li, Lijun Qian, Alexander J. Aved
, Timothy S. Kroecker:
Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning. FMEC 2019: 98-104 - [c3]Damilola Adesina, Olutobi Adagunodo, Xishuang Dong, Lijun Qian:
Aircraft Location Prediction using Deep Learning. MILCOM 2019: 127-132 - [c2]Damilola Adesina, Joshua Bassey, Lijun Qian:
Practical Radio Frequency Learning for Future Wireless Communication Systems. MILCOM 2019: 311-317 - 2018
- [c1]Hossein Jafari, Oluwaseyi Omotere, Damilola Adesina, Hsiang-Huang Wu, Lijun Qian:
IoT Devices Fingerprinting Using Deep Learning. MILCOM 2018: 1-9
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