William F. Northrop

According to our database, William F. Northrop authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

De-Snowing Algorithm for Long-Wavelength LiDAR.

Bharat Jayaprakash, Matthew Eagon, Lu Zhan, William F. Northrop

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

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

Model-Based Framework to Optimize Charger Station Deployment for Battery Electric Vehicles.

Matthew J. Eagon, Setayesh Fakhimi, George Lyu, Audrey Yang, Brian Lin, 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

2021

Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results.

Harish Panneer Selvam, Yan Li, Pengyue Wang, William F. Northrop, Shashi Shekhar

CoRR, 2021

2020

Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data.

Yan Li, Pratik Kotwal, Pengyue Wang, Yiqun Xie, Shashi Shekhar, William F. Northrop

Trans. Data Sci., 2020

Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

CoRR, 2020

A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

CoRR, 2020

Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Formal methods approach to the charging facility location problem for battery electric vehicles.

Matthew J. Eagon, William F. Northrop

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Significant lagrangian linear hotspot discovery.

Yan Li, Yiqun Xie, Pengyue Wang, Shashi Shekhar, William F. Northrop

Proceedings of the IWCTS@SIGSPATIAL 2020: Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2020

Risk-aware Energy Management of Extended Range Electric Delivery Vehicles with Implicit Quantile Network.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Trajectory-aware Lowest-cost Path Selection: A Summary of Results.

Yan Li, Pratik Kotwal, Pengyue Wang, Shashi Shekhar, William F. Northrop

Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Actor-Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles.

Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018

Physics-guided energy-efficient path selection: a summary of results.

Yan Li, Shashi Shekhar, Pengyue Wang, William F. Northrop

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Discovering non-compliant window co-occurrence patterns.

Reem Y. Ali, Venkata M. V. Gunturi, Andrew J. Kotz, Emre Eftelioglu, Shashi Shekhar, William F. Northrop

GeoInformatica, 2017

2016

A Markov Chain-based quantitative study of angular distribution of photons through turbid slabs via isotropic light scattering.

Xuesong Li, William F. Northrop

Comput. Phys. Commun., 2016

2015

Discovering Non-compliant Window Co-Occurrence Patterns: A Summary of Results.

Reem Y. Ali, Venkata M. V. Gunturi, Andrew J. Kotz, Shashi Shekhar, William F. Northrop

Proceedings of the Advances in Spatial and Temporal Databases, 2015

Future connected vehicles: challenges and opportunities for spatio-temporal computing.

Reem Y. Ali, Venkata M. V. Gunturi, Shashi Shekhar, Ahmed Eldawy, Mohamed F. Mokbel, Andrew J. Kotz, William F. Northrop

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015