NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
Technological advancements and interventions in the transportation sector play a crucial role in addressing climate change, given its major contribution to greenhouse gas emissions. The industry actively explores electrification, automation, and Intelligent Infrastructure to mitigate emissions. Howe...
Main Author: | Ramirez Sanchez, Edgar |
---|---|
Other Authors: | Wu, Cathy |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2024
|
Online Access: | https://hdl.handle.net/1721.1/157029 |
Similar Items
-
A Deep-Learning Surrogate Model Approach for Optimization of Morphing Airfoils
by: Karbasian, Hamidreza, et al.
Published: (2024) -
An enhanced fourier neural operator surrogate for radioactive plume transport forecasting
by: Ayoub, Ali, et al.
Published: (2024) -
Safety assessment using computer experiments and surrogate modeling: Railway vehicle safety and track quality indices
by: Neves Costa, João, et al.
Published: (2024) -
Interventionally consistent surrogates for complex simulation models
by: Dyer, J, et al.
Published: (2025) -
Study of ground vibrations induced by moving vehicles
by: Hao, Hong, et al.
Published: (2008)