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Abstract Unmanned Aerial Vehicle (UAV) operations confront complex systemic risks that challenge traditional analytical methods. This paper develops a hierarchical Bayesian Network (BN) to quantitatively model these risk...

Abstract The increasing frequency of natural hazards, intensified by climate change, poses substantial challenges to sustainable development worldwide. Northern Pakistan, particularly the Hunza district, is highly suscep...

Abstract This study examines the geological and climatic factors that influence natural radioactivity levels in drinking water from Dessie and Kombolcha towns in Ethiopia’s northern plateau. The basaltic and sedimentar...

Abstract Accurate and real-time prediction of lost circulation is essential for ensuring drilling safety and operational efficiency. Existing data-driven approaches, however, often lack effective integration of domain ex...

Abstract This study introduces a novel nonlinear mathematical model by considering three dynamic variables: densities of human population and industries, and concentration of atmospheric pollutants. The formulated model ...