Automatic Transportation Mode Classification Using a Deep Reinforcement Learning Approach With Smartphone Sensors-Reference-Cited by-同舟云学术

Automatic Transportation Mode Classification Using a Deep Reinforcement Learning Approach With Smartphone Sensors

Author:

Taherinavid Siavash¹,Moravvej Seyed Vahid²,Chen Yen-Lin³^ORCID,Yang Jing⁴,Ku Chin Soon⁵^ORCID,Yee Por Lip⁴^ORCID

Affiliation:

1. School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran

3. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan

4. Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia

5. Department of Computer Science, Universiti Tunku Abdul Rahman, Kampar, Malaysia

Funder

Ministry of Education of Taiwan

Universiti Tunku Abdul Rahman (UTAR) Financial Support for Journal Paper Publication Scheme, Malaysia

National Science and Technology Council in Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference48 articles.

5. Predicting mode of transport from iPhone accelerometer data;Nham,2011

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