| Specific emitter identification using convolutional neural network-based IQ imbalance estimators LJ Wong, WC Headley, AJ Michaels IEEE Access 7, 33544-33555, 2019 | 119* | 2019 |
| Groundwork for neural network-based specific emitter identification authentication for IoT JM McGinthy, LJ Wong, AJ Michaels IEEE Internet of Things Journal 6 (4), 6429-6440, 2019 | 108 | 2019 |
| Featureless coherent chaotic amplitude modulation DB Chester, AJ Michaels US Patent 8,068,571, 2011 | 95 | 2011 |
| Sine/cosine generator AJ Michaels, DB Chester US Patent 8,200,728, 2012 | 94 | 2012 |
| Clustering learned CNN features from raw I/Q data for emitter identification LJ Wong, WC Headley, S Andrews, RM Gerdes, AJ Michaels MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 26-33, 2018 | 89 | 2018 |
| Signal detection effects on deep neural networks utilizing raw IQ for modulation classification SC Hauser, WC Headley, AJ Michaels MILCOM 2017-2017 IEEE Military Communications Conference (MILCOM), 121-127, 2017 | 69 | 2017 |
| Selective noise cancellation of a spread spectrum signal AJ Michaels US Patent 8,040,937, 2011 | 66 | 2011 |
| Mixed radix number generator with chosen statistical artifacts AJ Michaels, DB Chester US Patent 7,962,540, 2011 | 65 | 2011 |
| An rfml ecosystem: Considerations for the application of deep learning to spectrum situational awareness LJ Wong, WH Clark, B Flowers, RM Buehrer, WC Headley, AJ Michaels IEEE Open Journal of the Communications Society 2, 2243-2264, 2021 | 62* | 2021 |
| Secure industrial Internet of Things critical infrastructure node design JM Mcginthy, AJ Michaels IEEE Internet of Things Journal 6 (5), 8021-8037, 2019 | 61 | 2019 |
| On the limitations of targeted adversarial evasion attacks against deep learning enabled modulation recognition S Bair, M DelVecchio, B Flowers, AJ Michaels, WC Headley Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 25-30, 2019 | 57 | 2019 |
| Spread spectrum communications system and method utilizing chaotic sequence DB Chester, AJ Michaels US Patent 7,974,413, 2011 | 56 | 2011 |
| Closed galois field cryptographic system DB Chester, AJ Michaels US Patent 8,139,764, 2012 | 54 | 2012 |
| Cryptographic system configured for extending a repetition period of a random sequence AJ Michaels US Patent 7,995,749, 2011 | 53 | 2011 |
| Adaptive correlation DB Chester, AJ Michaels US Patent 8,064,552, 2011 | 52 | 2011 |
| The robustness of modern deep learning architectures against single event upset errors AP Arechiga, AJ Michaels 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018 | 49 | 2018 |
| Digital generation of a chaotic numerical sequence DB Chester, AJ Michaels US Patent 7,937,427, 2011 | 48 | 2011 |
| Cryptographic system configured to perform a mixed radix conversion with a priori defined statistical artifacts AJ Michaels, DB Chester US Patent 8,363,830, 2013 | 47 | 2013 |
| Mixed radix conversion with a priori defined statistical artifacts AJ Michaels, DB Chester US Patent 7,970,809, 2011 | 46 | 2011 |
| Chaotic spread spectrum communications system receiver DB Chester, AJ Michaels US Patent 8,005,221, 2011 | 44 | 2011 |
Lauren J. WongResearch Scientist AI/ML, Intel CorporationPreverjeni e-poštni naslov na intel.com