Abstract: In-vehicle networks (IVNs) face growing threats from advanced cyber-attacks, particularly stealthy masquerade attacks that mimic legitimate message patterns. This paper proposes STATGRAPH, a ...

face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...

Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...

Neo4j’s Suhail Gulzar explains why graphs are gaining traction in India for grounding GenAI with context, detecting networked fraud threats and enabling auditable data lineage. Enterprises are ...

Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...

EmeraldGraph, a domain-specific Knowledge Graph, its schema and the full pipeline for its construction EmeraldDB, a document store extracted from ESG reports for text-based retrieval Claim grounding, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...