Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

Among all the ML classification ... model performance. All ML processes were carried out using Python 3.7 with several essential libraries: Scikit-learn (1.1.3) for implementing machine learning ...

The image analysis method converts the malicious code into ... vector machine (SVM) classifier. The experiments are performed on public bench-marked MalImg datasets and actual malware samples. The VGG ...

This project involves the classification of handwritten ... a lower-dimensional subspace. The LDA model is trained on the training data, and the training and test data are transformed into the LDA ...

Together they are known as the hyperplane parameter [32]. During the training phase, SVM builds a model, maps the decision boundary for each class and specifies the hyperplane that separates the ...

The domains of these applications include classification and regression problems. Random forest model and gradient boosting model are ... Refer to the below python implementation for the ...