Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

RF energy modeling using machine learning for energy harvesting communications systems

Tools
- Tools
+ Tools

Ye, Youjie, Azmat, Freeha, Adenopo, I., Chen, Yunfei and Shi, R. (2020) RF energy modeling using machine learning for energy harvesting communications systems. International Journal of Communication Systems . e4688. doi:10.1002/dac.4688 (In Press)

[img]
Preview
PDF
WRAP-RF-Energy-modelling-using-machine-learning-Chen-2020.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (2812Kb) | Preview
[img] PDF
WRAP-RF-Energy-modelling-using-machine-learning-Chen-2020.pdf - Accepted Version
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (1872Kb)
Official URL: https://doi.org/10.1002/dac.4688

Request Changes to record.

Item Type: Journal Article
Divisions: Faculty of Science > Engineering
Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: International Journal of Communication Systems
Publisher: Wiley-Blackwell
ISSN: 1074-5351
Official Date: 24 November 2020
Dates:
DateEvent
24 November 2020Published
11 November 2020Accepted
Date of first compliant deposit: 12 November 2020
Article Number: e4688
DOI: 10.1002/dac.4688
Status: Peer Reviewed
Publication Status: In Press
Access rights to Published version: Open Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us