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Author

S. Drǎguşin

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Open access 2026

XEAD-AgriSec: An Explainable Edge Anomaly Detection Framework for Cybersecurity in AI-Powered Agricultural IoT Systems

This paper proposes XEAD-AgriSec, an eXplainable Edge Anomaly Detection framework that protects the physical sensor layer of agricultural IoT systems through a fog-computing-centric architecture and integrates SHapley Additive exPlanations and Local Interpretable Model-agnostic Explanations to produce agricultural-doma...

Yassine Boukhali, S. Drǎguşin, N. Bizon et al. · 0 citations
Conference Jul 2026

Investment Portfolio Optimization Using Machine Learning and Reinforcement Learning Methods

This paper proposes an integrated framework for investment portfolio optimization that combines gradient boosting prediction models (LightGBM), volatility forecasting via the Heterogeneous Autoregressive Realized Volatility model (HAR-RV), market regime detection via Hidden Markov Models (HMM), and reinforcement learni...

Ionel Bostan, S. Drǎguşin, N. Bizon · 0 citations
Conference Jul 2026

Low-Cost Embedded System for Acoustic Fault Detection

In recent years, acoustic signal analysis has emerged as a promising approach for fault detection in electromechanical systems, providing a non-invasive, low-cost, and real-time alternative to traditional monitoring techniques. This paper presents the design and implementation of a low-cost embedded system for acoustic...

Andreea-Daniela Savu, N. Bizon, S. Drǎguşin · 0 citations

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