Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...

Abstract: Test selection is vital for accelerating multiprocessor design verification. Current methods focus on the similarities among random test cases but overlook critical runtime characteristics ...

A physics-based Python simulation exploring collision behavior in an AstroBlaster system, focusing on momentum transfer, impact modeling, and numerical computation techniques. #PythonPhysics ...

The BCAT (Bounded Confidence + Adoption Threshold) model integrates a bounded confidence-based opinion dynamics model with an adoption threshold innovation diffusion model. It simulates opinion ...