A two-phase machine learning framework for context-aware service selection to empower people with disabilities

HIGHLIGHTS

  • who: Abdallah Namoun and colleagues from the Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia have published the paper: A Two-Phase Machine Learning Framework for Context-Aware Service Selection to Empower People with Disabilities, in the Journal: Sensors 2022, 21, x FOR PEER REVIEW of /2022/
  • what: To ascertain the validity of the approach the authors compared its performance against common multi-criteria decision making (MCDM) models namely AHP SAW PROMETHEE and TOPSIS. The aim of this research is to develop a new ML framework for selecting services to . . .

     

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