Matthew Eagon

According to our database, Matthew Eagon authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Hyeonjung (Tari) Jung, Jayant Gupta, Bharat Jayaprakash, Matthew Eagon, Harish Panneer Selvam, Carl Molnar, William F. Northrop, Shashi Shekhar

CoRR, 2023

Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles.

Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.

Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Mass Detection for Heavy-Duty Vehicles using Gaussian Belief Propagation.

Matthew Eagon, Setayesh Fakhimi, Adam Pernsteiner, William F. Northrop

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Revolutionizing electric vehicle management: spatial computing challenges and opportunities.

Hyeonjung (Tari) Jung, Mingzhou Yang, Matthew Eagon, William F. Northrop

Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2022

2019

Flight Recovery of MAVs with Compromised IMU.

Zhan Tu, Fan Fei, Matthew Eagon, Dongyan Xu, Xinyan Deng

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Redundancy-Free UAV Sensor Fault Isolation And Recovery.

Zhan Tu, Fan Fei, Matthew Eagon, Xiangyu Zhang, Dongyan Xu, Xinyan Deng

CoRR, 2018