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Enhancing Cloud Performance Using File Format Classifications

Muhammad Junaid, Adnan Sohail, Monagi H. Alkinani, Adeel Ahmed, Mehmood Ahmed, Faisal Rehman
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
To improve such factors, an optimized multi-objective hybrid algorithm is being proposed that combines the relative advantages of Cat Swarm Optimization (CSO) with machine learning classifiers such as  ...  The adopted approach is based on SVM one to many classification models of machine learning that performs the classifications of various data format types in the cloud with best accuracy.  ...  formats, images, and digital maps etc.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.019962">doi:10.32604/cmc.2022.019962</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tmcv3r7pxbbobcegxowrav777e">fatcat:tmcv3r7pxbbobcegxowrav777e</a> </span>
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