collaborators

5 papers

cs.LG2026

Smart Sensing for Safer Bridges: From Sensor Signals to AI-Driven Anomaly Detection

Rahul Jaiswal, Joakim Hellum, Halvor Heiberg

Bridges contribute significantly to transportation connectivity and urban development. Therefore, reliable bridge monitoring is crucial for protecting public safety and detecting a…

cs.CR2026

Leveraging Interpretable Tsetlin Machine for PDF Malware Detection

Rahul Jaiswal, Ole-Christoffer Granmo

In the digital era, Portable Document Format (PDF) is one of the most widely used file formats for storing and exchanging digital documents due to its platform independence and ric…

cs.CR2026

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi +2

The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices withi…

cs.CR2026

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security

Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi +2

The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it a…

cs.LG2026

Detecting the Unexpected: AI-Driven Anomaly Detection in Smart Bridge Monitoring

Rahul Jaiswal, Joakim Hellum, Halvor Heiberg

Bridges are critical components of national infrastructure and smart cities. Therefore, smart bridge monitoring is essential for ensuring public safety and preventing catastrophic…