Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
Dijkstra’s algorithm is a well-known graph algorithm and a useful example for learners. Having it in Python increases the variety of languages supported in this repo. Contributors can refer to it and ...
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 ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min This summer, Roger Williams ...
Astronomers used a method once theorized by Albert Einstein to find a mysterious and rare planet on the edge of our galaxy. The planet, AT2021uey b, is a Jupiter-sized gas giant located about 3,200 ...
Abstract: This paper deals with genetic algorithm implementation in Python. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. In ...
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, ...
Looking for a love connection? As human beings, we're naturally drawn to form bonds and connections with other people. We crave closeness. However, the rules of love can be complex and often ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback