Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm

HIGHLIGHTS

• who: Muhammad Asim Shahid et al. from the Malaysian Institute of Information, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia, Faculty of Computing, Riphah International, Sector, Islamabad, Pakistan, School of Computer have published the article: Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm, in the Journal: PLOS ONE of 25/Dec/2022
• what: Khazaei and amp; Rezvani this study proposes a multi-objective VM placement strategy to reduce energy costs and optimize scheduling. The aim of this paper is to investigate many critical research topics and advanced techniques, such as AI, deep . . .
  

   

  

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