Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...

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 ...

Explore the reasons behind Nigeria’s massive population, which rivals the combined populations of its 15 neighboring countries. This video examines factors like demographics, fertility rates, history, ...

A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index ...

Seeing a cute dog in the neighborhood is always a nice surprise. Hearing your neighbors dog, however, is a different story — especially when you’re hearing them a little too often. Some things in life ...

In case you've faced some hurdles solving the clue, Repetitive technique for learning, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure ...

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...