This project implements a plagiarism detection system using machine learning techniques. The main objective is to identify instances of plagiarism by comparing text documents. The model is trained ...

Fake-News-Detection-using-Machine-Learning-NLP- The main objective is to detect the fake news, which is a classic text classification problem with a straight forward proposition. It is needed to build ...

A real strength of machine learning is that it enables humans to predict and proactively address potential dangers instead of dealing with them when the damage has occurred. As we’ve seen, machine ...

The main objective of this research is to predict the possible presence of diabetes -specifically in females-at an early stage using different machine learning techniques. Early detection of diabetes ...

The present-day world has become all dependent on cyberspace for every aspect of daily living. The use of cyberspace is rising with each passing day. The world is spending more time on the Internet ...

The authors aimed to extract knowledge from existing literature on deception detection and streamline methods to detect lies via machine learning, and compare them to conventional non-machine learning ...

Machine learning refines earthquake detection capabilities New methodology enables the detection of ground deformation automatically at a global scale Date: November 11, 2021 Source: DOE/Los ...

Despite all of the safeguards and fraud detection systems in place, Capital One failed to monitor or detect the unauthorized activity.

Early detection and warning systems are crucial for preventing and controlling epidemic spread. Objective: In this study, we aimed to propose a machine learning-based method to predict the ...