A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Abstract: The software engineering community is working to develop reliable metrics to improve software quality. It is estimated that understanding the source code accounts for 60% of the software ...

RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...

Abstract: The research examines the Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) machine learning algorithms with the goal of using machine learning to detect malware and mitigate ...

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...