When it comes to real-time AI-driven applications like self-driving cars or healthcare monitoring, even an extra second to ...

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The existing data-driven based underwater image enhancement (UIE) techniques suffer from the lack of a large-scale dataset containing various underwater scenes and high-fidelity reference images.

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This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms ...

It supports basic operations like addition, subtraction, multiplication, and division, making it ideal for quick calculations in various applications.