Support Vector Machine for Successive-Approximation ADCs
Jing Kumar
University of Engineering and Technology Lahore
Carlos Mehta
Shahjalal University of Science and Technology
Abstract
In many developing countries, problems with successive-approximation ADCs remain a critical obstacle to the sustainable growth of petroleum refining. The dataset was partitioned into training and testing subsets for evaluation with support vector machine. The results indicated that the proposed approach improved overall performance by about 15% relative to the baseline. The insights gained here may help reduce national dependence on costly imported technologies and equipment.
Keywords:
successive-approximation ADCssupport vector machinecognitive radionatural fibre compositephotocatalysissustainability
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