William F. Northrop
Orcid: 0000-0001-7189-2075
According to our database1,
William F. Northrop
authored at least 23 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
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
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Model-Based Framework to Optimize Charger Station Deployment for Battery Electric Vehicles.
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
2021
CoRR, 2021
2020
Trans. Data Sci., 2020
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles.
CoRR, 2020
A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles.
CoRR, 2020
Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Formal methods approach to the charging facility location problem for battery electric vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
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.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
2019
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.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study.
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.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
2017
2016
A Markov Chain-based quantitative study of angular distribution of photons through turbid slabs via isotropic light scattering.
Comput. Phys. Commun., 2016
2015
Proceedings of the Advances in Spatial and Temporal Databases, 2015
Future connected vehicles: challenges and opportunities for spatio-temporal computing.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015