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FPGA based Hardware Implementation of k-Nearest Neighbors(k-NN) Algorithm using the Manhattan Distance Metric for Binary Classification Tasks.

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Title: FPGA based Hardware Implementation of k-Nearest Neighbors(k-NN) Algorithm using the Manhattan Distance Metric for Binary Classification Tasks.
Authors: Arumilli, Vamsi SriKrishna1, arumillivamsi@gmail.com, Ghatta, Asish Krishna1, asishkrishna13@gmail.com, Sabari, Gowshith1, gowshithsabari123@gmail.com, A. S., Remya Ajai1, remya.amrita@gmail.com
Source: Grenze International Journal of Engineering & Technology (GIJET); Jan2025, Vol. 11 Issue Part1, p819-827, 9p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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      – Code: eng
        Text: English
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        PageCount: 9
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      – TitleFull: FPGA based Hardware Implementation of k-Nearest Neighbors(k-NN) Algorithm using the Manhattan Distance Metric for Binary Classification Tasks.
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              Text: Jan2025
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              Y: 2025
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