Utilizing neural networks for fully adaptive radar P John-Baptiste, GE Smith 2019 IEEE Radar Conference (RadarConf), 1-6, 2019 | 11 | 2019 |
Rapid waveform design through machine learning P John-Baptiste, GE Smith, AM Jones, T Bihl 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 10 | 2019 |
Neural networks & machine learning in cognitive radar GE Smith, SZ Gurbuz, S Brüggenwirth, P John-Baptiste 2020 IEEE radar conference (RadarConf20), 1-6, 2020 | 8 | 2020 |
Neural network-based control of an adaptive radar P John-Baptiste, JT Johnson, GE Smith IEEE Transactions on Aerospace and Electronic Systems 58 (1), 168-179, 2021 | 6 | 2021 |
Multi-task tracking and classification with an adaptive radar P John-Baptiste, A Brandewie, J Vinci, K Bell, JT Johnson, CF Neese, ... IET Radar, Sonar & Navigation, 2021 | 5 | 2021 |
Advancing fully adaptive radar concepts for real-time parameter adaptation and decision making P John-Baptiste Jr The Ohio State University, 2020 | 4 | 2020 |
Fully adaptive radar for multiple target tracking P John-Baptiste, KL Bell, JT Johnson, GE Smith IEEE Transactions on Aerospace and Electronic Systems 58 (6), 5749-5765, 2022 | 3 | 2022 |
Experimentation of an adaptive and autonomous rf signalling strategy for detection AM Jones, CP Horne, HD Griffiths, G Smith, A Mitchell, P John-Baptiste 2018 IEEE Radar Conference (RadarConf18), 1213-1218, 2018 | 2 | 2018 |
Using deep learning for SAR image optimization P John-Baptiste, E Zelnio, GE Smith Algorithms for Synthetic Aperture Radar Imagery XXV 10647, 72-86, 2018 | 1 | 2018 |
Experimental spectral coexistence investigation for cognitive radar AE Mitchell, HD Griffiths IET Conference Publications 2017 (CP728), 2017 | | 2017 |
Wi-Extend (Wireless Extension Cord) AR Davis | | 2016 |