Deep learning-based driving cycle development for Kinta district
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0188526
Reference12 articles.
1. T. M. Arif, Introduction to Deep Learning for Engineers (Macmillan Publishers, 2020).
2. Real Driving Cycle-Based State of Charge Prediction for EV Batteries Using Deep Learning Methods
3. Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review
4. A comparative study of conceptual design and prototype for DC-TRAD using EV powertrain for RTW DC in KT city
5. Road Traffic Volume Malaysia (RTVM), (Ministry of Works Malaysia, 2019). Accessed at http://rtvm.kkr.gov.my/ on 1 April 2022.
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