Analysis and multiobjective optimization of a machine learning algorithm for wireless telecommunication

HIGHLIGHTS

  • who: Samah Temim et al. from the Computer Science and Engineering Department, University of Quebec in Outaouais, Gatineau, QC J A , Canada have published the paper: Analysis and Multiobjective Optimization of a Machine Learning Algorithm for Wireless Telecommunication, in the Journal: Telecom 2023, 4, FOR PEER REVIEW of /2023/
  • what: This approach has the potential to save a significant amount of energy. Over the past three years, the authors have seen more and more studies focusing on this topic. This study focuses on exploring the impact of hyperparameters on the energy consumption and performance of . . .

     

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