Optimized implementation of an improved KNN classification algorithm using Intel FPGA platform: Covid-19 case study

The improved k-nearest neighbor (KNN) algorithm based on class contribution and feature weighting (DCT-KNN) is a highly accurate approach. However, it requires complex computational steps which consumes much time for the classification process. A field programmable gate array (FPGA) can be used to s...

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Bibliographic Details

Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Abedalmuhdi Almomany, Walaa R. Ayyad, Amin Jarrah
Format:	Article
Language:	English
Published:	Springer 2022-06-01
Subjects:	FPGA DCT-KNN HLS HDL OPENCL
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157822001239