Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...

In this repository, you will find my solutions to the pattern-based programming problems recommended by Striver. Each solution is implemented in C++. These problems are carefully selected to cover a ...

This project evaluates the performance of the YOLOv8n model in detecting cracks in concrete structures, focusing on the impact of training data quality. The evaluation compares models trained on clean ...

Abstract: This study aims to evaluate and compare various types of data augmentation in drone object detection using the YOLOv5 algorithm. Data augmentation is an important technique in image data ...