E-LIB Suche - Ergebnisse für: Flowers, Bryse

1

Utilizing Reinforcement Learning for Adaptive Sensor Data S..:

Flowers, Bryse ; Ku, Yu-Jen ; Baidya, Sabur.
IEEE Transactions on Vehicular Technology. 73 (2024) 3 - p. 4051-4066 , 2024

Link: https://doi.org/10.1109/..

2

Utilizing Unsupervised Learning for Improving ML Channel St..:

, In: 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring),

Flowers, Bryse ; Sawant, Adarsh ; Wang, Runxin. - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

3

Countering Physical Eavesdropper Evasion with Adversarial T..:

McClintick, Kyle W. ; Harer, Jacob ; Flowers, Bryse..
IEEE Open Journal of the Communications Society. 3 (2022) - p. 1820-1833 , 2022

Link: https://doi.org/10.1109/..

4

Adaptive C-V2X Sidelink Communications for Vehicular Applic..:

, In: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring),

Ku, Yu-Jen ; Flowers, Bryse ; Thornton, Samuel.. - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

5

Multi-Source Feature Fusion for Object Detection Associatio..:

Thornton, Samuel ; Flowers, Bryse ; Dey, Sujit
IEEE Access. 10 (2022) - p. 131841-131854 , 2022

Link: https://doi.org/10.1109/..

6

A UCSD view on replication and reproducibility for CPS & Io:

, In: Proceedings of the Workshop on Benchmarking Cyber-Physical Systems and Internet of Things,

Yen, Alex ; Flowers, Bryse ; Luo, Wenshan... - p. 20-25 , 2021

Link: https://dl.acm.org/doi/1..

7

An RFML Ecosystem: Considerations for the Application of De..:

Wong, Lauren J. ; Clark, William H. ; Flowers, Bryse...
IEEE Open Journal of the Communications Society. 2 (2021) - p. 2243-2264 , 2021

Link: https://doi.org/10.1109/..

8

Effects of Forward Error Correction on Communications Aware..:

, In: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications,

DelVecchio, Matthew ; Flowers, Bryse ; Headley, William C. - p. 1-7 , 2020

Link: https://doi.org/10.1109/..

9

On the Limitations of Targeted Adversarial Evasion Attacks ..:

, In: Proceedings of the ACM Workshop on Wireless Security and Machine Learning,

Bair, Samuel ; DelVecchio, Matthew ; Flowers, Bryse.. - p. 25-30 , 2019

Link: https://dl.acm.org/doi/1..

10

Communications Aware Adversarial Residual Networks for over..:

, In: MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM),

Flowers, Bryse ; Buehrer, R. Michael ; Headley, William C. - p. 133-140 , 2019

Link: https://doi.org/10.1109/..

11

The RFML Ecosystem: A Look at the Unique Challenges of Appl..:

Wong, Lauren J ; Clark IV, William H ; Flowers, Bryse...
http://arxiv.org/abs/2010.00432. , 2020

Link: http://arxiv.org/abs/201..

12

When Wireless Security Meets Machine Learning: Motivation, ..:

Sagduyu, Yalin E ; Shi, Yi ; Erpek, Tugba...
http://arxiv.org/abs/2001.08883. , 2020

Link: http://arxiv.org/abs/200..

13

Effects of Forward Error Correction on Communications Aware..:

DelVecchio, Matthew ; Flowers, Bryse ; Headley, William C
http://arxiv.org/abs/2005.13123. , 2020

Link: http://arxiv.org/abs/200..

14

Evaluating Adversarial Evasion Attacks in the Context of Wi..:

Flowers, Bryse ; Buehrer, R. Michael ; Headley, William C
http://arxiv.org/abs/1903.01563. , 2019

Link: http://arxiv.org/abs/190..

15

Adversarial RFML: Evading Deep Learning Enabled Signal Clas..:

Flowers, Bryse Austin
vt_gsexam:21663. , 2019

Link: http://hdl.handle.net/10..