Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
This repository contains the implementation of a hardware-accelerated K-Nearest Neighbors (KNN) algorithm using Verilog on an FPGA. The project includes performance and timing analysis using Quartus, ...
Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
The objective of this project is to facilitate the use of clustering algorithms by engineering students who are not specialized in AI.
Introduction: The older adult are at high risk of sarcopenia, making early identification and scientific intervention crucial for healthy aging. Methods: This study utilized data from the China Health ...
Abstract: Aim: In light of unpredictable weather forecasts, the goal of this research is to develop and assess a sophisticated K nearest Neighbor (KNN) based systematic prediction system for early ...
1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...
The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which aim to ...