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 ...

First-party data is having its ‘main character’ moment. For years, FMCG marketers relied on third-party data to piece together the customer journey. But the game is changing. With the rise of digital ...

Abstract: This research study employed machine learning algorithm in This research study employed a machine learning algorithm in predicting student academic performance in the Data Structures and ...

While the dawn of quantum computing may still be years away, federal agencies are facing a future threat that has already arrived. Adversaries are actively stealing encrypted government information ...