| Dilated causal convolutional model for RF fingerprinting J Robinson, S Kuzdeba, J Stankowicz, JM Carmack 2020 10th Annual Computing and Communication Workshop and Conference (CCWC …, 2020 | 70 | 2020 |
| Transfer learning with radio frequency signals S Kuzdeba, J Robinson, J Carmack 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021 | 41 | 2021 |
| Complex neural networks for radio frequency fingerprinting J Stankowicz, J Robinson, JM Carmack, S Kuzdeba 2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2019 | 26 | 2019 |
| Numerical simulations of bijel morphology in thin films with complete surface wetting JM Carmack, PC Millett The Journal of chemical physics 143 (15), 2015 | 18 | 2015 |
| Tuning thin-film bijels with applied external electric fields JM Carmack, PC Millett Soft matter 14 (21), 4344-4354, 2018 | 12 | 2018 |
| RiftNeXt™: Explainable deep neural RF scene classification S Schmidt, J Stankowicz, J Carmack, S Kuzdeba Proceedings of the 3rd ACM Workshop on Wireless Security and Machine …, 2021 | 9 | 2021 |
| Diverse morphologies in thin-film bijels by varying film thickness and composition JM Carmack, PC Millett Soft matter 13 (23), 4214-4223, 2017 | 9 | 2017 |
| Systems view to designing RF fingerprinting for real-world operations S Kuzdeba, J Robinson, J Carmack, D Couto Proceedings of the 2022 ACM Workshop on Wireless Security and Machine …, 2022 | 6 | 2022 |
| RF Fingerprinting with Dilated Causal Convolutions–An Inherently Explainable Architecture S Kuzdeba, J Carmack, J Robinson 2021 55th Asilomar Conference on Signals, Systems, and Computers, 292-299, 2021 | 5 | 2021 |
| RiftNet reconstruction model for radio frequency domain waveform representation and synthesis JM Carmack, S Kuzdeba 2021 IEEE World AI IoT Congress (AIIoT), 0303-0312, 2021 | 5 | 2021 |
| Multi-agent reinforcement learning approaches to RF fingerprint enhancement J Carmack, S Schmidt, S Kuzdeba Proceedings of the 3rd ACM Workshop on Wireless Security and Machine …, 2021 | 3 | 2021 |
| Method for signal representation and reconstruction SA Kuzdeba, JM Carmack, JM Stankowicz US Patent App. 17/358,153, 2023 | 2 | 2023 |
| FPGA implementation of radio frequency neural networks A Bhatia, J Robinson, J Carmack, S Kuzdeba 2022 IEEE 12th Annual Computing and Communication Workshop and Conference …, 2022 | 2 | 2022 |
| Neural network signal processing for LTE receiver application J Robinson, J Carmack, A Bhatia, J Majewski, S Kuzdeba, J Farkas, ... 2021 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2021 | 2 | 2021 |
| Artificial intelligence radio classifier and identifier JW Robinson, JM Carmack, SA Kuzdeba, JM Stankowicz US Patent 11,558,810, 2023 | 1 | 2023 |
| Neural Network Generative Models for Radio Frequency Data J Carmack, A Bhatia, J Robinson, J Majewski, S Kuzdeba 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …, 2021 | 1 | 2021 |
| Radio frequency environment awareness with explainable results JM Stankowicz, JM Carmack, SA Kuzdeba, S Schmidt US Patent App. 17/503,205, 2023 | | 2023 |
| Neural network kernels for signal processing in lieu of digital signal processing in radio receivers A Bhatia, JM Carmack, SA Kuzdeba, JW Robinson US Patent 11,342,946, 2022 | | 2022 |
| Mesoscale Computational Studies of Thin-film Bijels J Carmack University of Arkansas, 2018 | | 2018 |
| EXTENDING SYMMETRY-MODE ANALYSIS TO DETERMINING MAGNETIC SUPERSTRUCTURE SYMMETRY JM Carmack Brigham Young University-Idaho, 2013 | | 2013 |
Scott KuzdebaBAE Systems在 baesystems.com 的电子邮件经过验证
Scott KuzdebaBAE Systems在 baesystems.com 的电子邮件经过验证
Paul C. MillettUniversity of Arkansas在 uark.edu 的电子邮件经过验证