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Nathan K. Long
Nathan K. Long
PhD Candidate, UNSW
Verified email at ad.unsw.edu.au
Title
Cited by
Cited by
Year
A comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach
NK Long, K Sammut, D Sgarioto, M Garratt, HA Abbass
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (4 …, 2020
842020
Regenerative dynamic soaring trajectory augmentation over flat terrains
N Long, S Watkins, JM Moschetta, V Bonnin
AIAA Scitech 2019 Forum, 0569, 2019
42019
Multi-vessel Sea State Estimation Utilising Swarm Shepherding
NK Long, D Sgarioto, M Garratt, K Sammut, H Abbass
2019 Pacific International Maritime Conference, 2019
32019
Phase Correction using Deep Learning for Satellite-to-Ground CV-QKD
NK Long, R Malaney, KJ Grant
arXiv preprint arXiv:2305.18737, 2023
12023
Response component analysis for sea state estimation using artificial neural networks and vessel response spectral data
NK Long, D Sgarioto, M Garratt, K Sammut
Applied Ocean Research 127, 103320, 2022
12022
Shepherding Autonomous Goal-Focused Swarms in Unknown Environments Using Hilbert Space-Filling Paths
NK Long, M Garratt, K Sammut, D Sgarioto, HA Abbass
Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence …, 2021
12021
Bio-inspired Regenerative Flight Trajectory Optimisation Over Flat Topography
NK Long, S Watkins, JM Moschetta, V Bonnin
2018 International Micro Air Vehicles Conference, 2018
12018
A Survey of Machine Learning Assisted Continuous-Variable Quantum Key Distribution
NK Long, R Malaney, KJ Grant
Information 14 (10), 553, 2023
2023
Multi-vessel sea state estimation using artificial neural networks and vessel response spectral data
N Long
UNSW Sydney, 2021
2021
Possible Near-Term Mission Architecture to Measure Lunar Polar Regolith Water Content
S Nuss-Soeharto, NK Long, GE Dorrington
18th Australian Space Research Conference Gold Coast September 24-26, 2018, 71, 2018
2018
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