Regime Shift detects market regimes by analyzing factor pair performance (Value/Growth, Momentum/Quality) using a jump-penalized optimization framework. Unlike traditional clustering or HMM approaches ...

Abstract: Accurately assessing caloric expenditure is essential for future advancement in personalized health tracking and exercise optimization. In this study, we develop a robust and scalable ...

Abstract: The use of uncrewed aerial vehicles (UAVs) has grown across various fields, requiring accurate localization for efficiency. Reliance on GPS poses issues like interference and signal loss.

This project simulates a real-world scenario where we need to detect anomalous behavior in telecom network nodes — things like latency spikes, packet loss surges, CPU saturation, and correlated ...