Computer Science and Engineering

Computer Science and Engineering is a peer-reviewed journal that deals with all aspects of computer science. It publishes articles which contribute new theoretical results in all areas of the foundations of computer science. Papers reporting original research and innovative applications from all parts of the world are welcome.


ICV 2015: 75.35; ICV 2016: 80.70
Editor-in-chief: Duc Nguyen, xun zhang, Zoran Ciric
p-ISSN: 2163-1484
e-ISSN: 2163-1492
Website: http://journal.sapub.org/computer




Computer Science and Engineering

Latest Issue: Volume 14, Number 6 (2024)
Skip Navigation Links.
Expand &nbsp;<u>2024</u> 2024
Expand &nbsp;<u>2023</u> 2023
Expand &nbsp;<u>2022</u> 2022
Expand &nbsp;<u>2021</u> 2021
Expand &nbsp;<u>2020</u> 2020
Expand &nbsp;<u>2019</u> 2019
Expand &nbsp;<u>2018</u> 2018
Expand &nbsp;<u>2017</u> 2017
Expand &nbsp;<u>2016</u> 2016
Expand &nbsp;<u>2015</u> 2015
Expand &nbsp;<u>2014</u> 2014
Expand &nbsp;<u>2013</u> 2013
Expand &nbsp;<u>2012</u> 2012
Expand &nbsp;<u>2011</u> 2011
  • Articles
Trustworthy Communication and Energy Efficiency
pp. 0-0
DOI: 10.5923/s.computer.201501   1798 Views  1201 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Partial Image Secret Sharing Using Discrete Wavelet Transform
Abdelnaser Rashwan, Honggang Wang
pp. 1-7
DOI: 10.5923/s.computer.201501.01   2284 Views  1254 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Energy Efficient ECG Monitoring System for Human Emotional Stress Assessment
Hansong Xu, Kun Hua, Wei Wang, Mandy Lu, Tigang Jiang
pp. 8-14
DOI: 10.5923/s.computer.201501.02   3693 Views  1835 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
A Wideband Spectrum Sensing Method Based on Compressed Sensing by Using Matching Pursuits
Lifen Yuan, Mi Lu
pp. 15-22
DOI: 10.5923/s.computer.201501.03   3760 Views  2263 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML