Not Logged In

Deep Green: An Ensemble of Machine Learning Methods Predicting Mobile Energy Consumption

Citation

S. Romansky, S. Chowdhury, A. Hindle, N. Borle, R. Greiner. "Deep Green: An Ensemble of Machine Learning Methods Predicting Mobile Energy Consumption". International Conference on Software Maintenance and Evolution, pp 273-283, July 2017.

Keywords: green computing, machine learning, energy consumption
Category: In Conference
Web Links: DOI
  IEEE

BibTeX

@incollection{Romansky+al:ICSME17,
  author = {Stephen Romansky and Shaiful Alam Chowdhury and Abram Hindle and
    Neil Borle and Russ Greiner},
  title = {Deep Green: An Ensemble of Machine Learning Methods Predicting
    Mobile Energy Consumption},
  Pages = {273-283},
  booktitle = {International Conference on Software Maintenance and Evolution},
  year = 2017,
}

Last Updated: February 11, 2020
Submitted by Sabina P

University of Alberta Logo AICML Logo