Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction

Journal Article
2019-28-2418
ISSN: 2641-9645, e-ISSN: 2641-9645
DOI: https://doi.org/10.4271/2019-28-2418
Published November 21, 2019 by SAE International in United States
Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction
Sector:
Event: NuGen Summit
Citation: Borkar, B., Maria Francis, J., and Arora, P., "Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction," SAE Int. J. Adv. & Curr. Prac. in Mobility 2(2):1110-1115, 2020, https://doi.org/10.4271/2019-28-2418.
Language: English

References

  1. Gao , D.W. , Mi , C. , and Emadi , A. Modeling and Simulation of Electric and Hybrid Vehicles Proceedings of the IEEE 95 4 729 732
  2. Widiasari , I.R. , Nugroho , L.E. , Widyawan Nov. 2-4, 2017
  3. Karpatne , A. , Watkinsy , W. , Ready , J. , and Kumar , V. Feb. 20, 2018
  4. Zhang , W. and Liu , Q. Using the Center Loss Function to Improve Deep Learning Performance for EEG Signal Classification 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI) March 29-31, 2018 Xiamen, China
  5. Yunpeng , L. , Di , H. , Junpeng , B. , and Yong , Q. Multi-Step ahead Time Series Forecasting for Different Data Patterns Based on LSTM Recurrent Neural Network 2017 14th Web Information Systems and Applications Conference
  6. Albawi , S. , Mohammed , T.A. , and Al-Zawi , S. Understanding of a Convolutional Neural Network 2017 International Conference on Engineering and Technology (ICET) Aug. 21-23, 2017

Cited By