In this paper, network intrusion detection is proposed using an improved version of the support vector machine model to detect DoS attacks. Here, the SVM model considers the weight parameter along ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

This manuscript proposes a customized plagiarism detection algorithm tailored to detect source code plagiarism in the Python programming language. Our approach combines textual and syntactic ...

This project focuses on predicting flight delays in the United States domestic air traffic system over 500 000+ data using machine learning techniques. Leveraging a dataset from the Bureau of ...

Robust support vector machine (RSVM) using ramp loss provides a better generalization performance than traditional support vector machine (SVM) using hinge loss. However, the good performance of RSVM ...

For this reason, various machine learning techniques have been designed and developed to deal with the problem of predicting the future trend of option price. In this paper, we compare the ...