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 ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

This project provides a custom implementation of the K-Nearest Neighbors (KNN) algorithm using NumPy and Pandas, demonstrating the core machine learning technique without relying on scikit-learn.

In underground engineering, precise analysis of structural discontinuities is critical for understanding the rock fracture mechanisms subjected to shear and tensile loading. This study presents an ...

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 ...

1 Center for Environmental System Research, Kassel University, Kassel, Germany 2 Institute of Hydrologic Engineering and Water Management, Ruhr-University Bochum, Bochum, Germany Can machine learning ...

Abstract: This paper proposes an improved KNN algorithm to overcome the class overlapping problem when the class distribution is skewed. Different from the conventional KNN algorithm, it not only ...

Abstract: In this paper, we propose KNC algorithm for combining KNN algorithm and other three classifiers (C4.5 algorithm, Naive Bayes classifier and SVM) based on their classification capabilities on ...