Abstract: This paper explores the application of KNN for identifying and analyzing dissolved gases in power transformer (PT) oil. We want to make a strong diagnostic model that can correctly classify ...
For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Abstract: In this study we delve into the use of a combined machine learning model to counter the growing problems of hate speech on social media. Hate speech can significantly impact individuals, ...
This repository contains my complete solutions to the legendary Karan's Mega Project List — a curated collection of programming challenges designed to improve coding skills across multiple domains.
Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...
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