Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...

This project uses the K-Nearest Neighbors (KNN) classification algorithm to predict whether a customer will churn (leave a service) or not. It includes data preprocessing, exploratory data analysis ...

To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...

1 School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China 2 School of Computer Science, Chengdu University of Information Technology, Chengdu, ...

Load behaviors significantly impact the planning, dispatching, and operation of the modern power systems. Load classification has been proved as one of the most effective ways of analyzing the load ...

Abstract: K-nearest neighbor classification algorithm (KNN) is one of the simplest methods in data mining classification technology, it has been widely used in many fields because of its simplicity.