However, these transformation functions tend to result in over-enhancement artifacts such as noise amplification, mean brightness change, and detail loss. To overcome the limitations of conventional ...

In this study, an obstacle avoidance maneuver with sigmoid function optimization is applied on the path following control of the Autonomous truck-trailer. The accumulation of trailers and traffic ...

This project explores the implementation of a Logistic Regression model to predict a binary outcome (e.g. customer churn, default, etc.) using Python's Scikit-learn library. The notebook ...

This repository demonstrates logistic regression using step and sigmoid functions, gradient descent, and sklearn for comparison. It includes visualizations and comparisons to provide a clear ...