Performance of traditional ML algorithms for optimal partitioning scheme.

<p>Performance of traditional ML algorithms for optimal partitioning scheme.</p>

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Bibliographic Details
Main Author:	Shehr Bano (20421706) (author)
Other Authors:	Ghulam Abbas (764241) (author), Muhammad Bilal (737265) (author), Ziaul Haq Abbas (11663085) (author), Zaiwar Ali (20421709) (author), Muhammad Waqas (535011) (author)
Published:	2024
Subjects:	Medicine Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified proposed algorithm show intelligent resource management automated machine learning high time sensitivity optimal classification models optimal partitioning model div >< p cloud computing lessens benchmark techniques along >( 1 ). optimal offloading model optimal number mobile computing cloud servers based models time complexity equal time user equipment significantly less significant improvement processing capability mobile devices maximized along hybrid architecture energy consumption edge servers also increased also calculates
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