A comprehensive Python-based machine learning solution for detecting anomalies in multivariate time series data from industrial IoT sensors. This solution identifies abnormal behavior patterns and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The natural gas pipeline network has a complex topology with variable flow directions, ...

1 Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA. 2 Department of Computer Science, Kettering University, Flint, MI, USA. Intelligent vehicles require strong ...

In the fast-changing digital world, cybersecurity threats create substantial risks for organizations globally. Proactive defense is vital to counter these challenges. Real-time vulnerability detection ...

┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ Data Sources │ │ Stream Process │ │ Anomaly Engine ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

DermaSensor today announced the publication of two pivotal studies validating its device for skin cancer detection in primary care. In collaboration with faculty from Mayo Clinic, Yale University, the ...