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: 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 ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...

The objective of this project is to facilitate the use of clustering algorithms by engineering students who are not specialized in AI.

Abstract: Aim: In light of unpredictable weather forecasts, the goal of this research is to develop and assess a sophisticated K nearest Neighbor (KNN) based systematic prediction system for early ...

1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...