Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...

Abstract: This research presents the development of an anomaly and data breach detection system using Python to analyze internet traffic logs. When comparing various machine learning algorithms, it ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

Morgan Pinder is a writer at GameRant and a graduate researcher at Deakin University in Australia. Their research interests are in video games, environmentalism and gothic media. Morgan’s most recent ...

Abstract: This paper presents an innovative approach to anomaly detection in electric vehicle (EV) charging platforms, centered around four key innovations that significantly advance the field of ...

DeepOD is an open-source python library for Deep Learning-based Outlier Detection and Anomaly Detection. DeepOD supports tabular anomaly detection and time-series ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

A good way to see where this article is headed is to take a look at the screenshot in Figure 1 and the graph in Figure 2. The demo program begins by loading a tiny 10-item dataset into memory. The ...