Matthew Eagon

According to our database1, Matthew Eagon authored at least 8 papers between 2018 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
De-Snowing Algorithm for Long-Wavelength LiDAR.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks.
CoRR, 2023

Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Mass Detection for Heavy-Duty Vehicles using Gaussian Belief Propagation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Revolutionizing electric vehicle management: spatial computing challenges and opportunities.
Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2022

2019
Flight Recovery of MAVs with Compromised IMU.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Redundancy-Free UAV Sensor Fault Isolation And Recovery.
CoRR, 2018


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