Carl E. Busart

Orcid: 0000-0002-1409-1068

According to our database1, Carl E. Busart authored at least 22 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks.
CoRR, 2024

Accelerating ViT Inference on FPGA through Static and Dynamic Pruning.
CoRR, 2024

PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images.
CoRR, 2024

2023
Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning.
Autom., October, 2023

Reproducible and Portable Big Data Analytics in the Cloud.
IEEE Trans. Cloud Comput., 2023

Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers.
CoRR, 2023

Asynchronous Local Computations in Distributed Bayesian Learning.
CoRR, 2023

Graph Neural Network for Accurate and Low-complexity SAR ATR.
CoRR, 2023

Reinforcement Learning with An Abrupt Model Change.
Proceedings of the Winter Simulation Conference, 2023

Vision Transformer-based Real-Time Camouflaged Object Detection System at Edge.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device.
Proceedings of the International Conference on Machine Learning and Applications, 2023

A Novel ROS2 QoS Policy-Enabled Synchronizing Middleware for Co-Simulation of Heterogeneous Multi-Robot Systems.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Performance of Graph Neural Networks for Point Cloud Applications.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022
An edge-cloud integrated framework for flexible and dynamic stream analytics.
Future Gener. Comput. Syst., 2022

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Secure Federated Training: Detecting Compromised Nodes and Identifying the Type of Attacks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

Asynchronous Bayesian Learning over a Network.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021


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