Abstract:

This study proposes a fuzzy logic model to forecast gold prices under uncertainty, considering key factors such as global economic risk, financial market volatility, energy shocks, and geopolitical tensions. Using a reference price of 4000 USD/oz at the end of 2025, three scenarios—stable, developing risks, and high-risk conditions—were analysed. The model produced forecast ranges for early 2026: 4050–4100 USD/oz (stable), (4150–4250 USD/oz )(developing), and (4400–4550 USD/oz) (high-risk). Results show that geopolitical risk has the strongest impact on gold prices, and the fuzzy logic approach provides robust, interval-based predictions that capture moderate and extreme fluctuations. The methodology offers practical insights for investors and policymakers navigating volatile global markets.

 Keywords: Gold, Fuzzy Logic, Price Forecasting, Geopolitical Risk, Market Volatility.

Abstract:

This study develops an autonomous Drone-to-Drone Net Capture System designed as a non-destructive, cost-effective alternative to conventional counter-UAV defense platforms. The proposed framework integrates artificial intelligence, computer vision, flight control engineering, and mechanical interception to detect, track, and physically capture hostile drones using a lightweight net deployment mechanism. This research focuses strictly on an engineering simulation methodology to evaluate and optimize the platform before physical implementation. The multi-stage simulation framework models intelligent target detection using YOLOv8 and CNN algorithms, trajectory tracking via Kalman filtering, and aerodynamic airframe optimization to ensure high-agility pursuit flight. Furthermore, mechanical simulations evaluate a compressed-spring pneumatic launcher to maximize net expansion and rotor entanglement, while deep reinforcement learning simulations train the autonomous interceptor in dynamic, variable-wind environments. The integrated simulation data validates that this virtual-engineering approach successfully optimizes target acquisition, trajectory prediction, and mechanical interception, establishing a highly scalable, sustainable, and reliable defense architecture for airspace security.

 Keywords: Counter-UAV, Net Capture System, Engineering Simulation, Autonomous Interception, Airspace Security.