This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Abstract: To address the issues of resource waste and latency accumulation caused by the "one-size-fits-all" filtering in traditional ELK Logstash, this paper proposes a dynamic log shunting model ...

Abstract: We present a Golden-Model-free framework for hardware Trojan (HT) detection that treats temperature not as noise to remove but as physical context that organizes electromagnetic (EM) ...