This study proposes an end-to-end, machine-learning-driven maritime security system that combines a YOLOv8-based object-detection pipeline trained on an augmented dataset encompassing low-light and adverse-weather conditions with a probabilistic threat-level assessment module. By incorporating vessel characteristics su...
Md Sabbir Ahmed, Zobair Ibn Awal· Engineering· 0 citations
Accurate prediction of vibration frequencies in marine vessels is significant for stopping noise pollution and preventing structural failures, yet traditional methods rely on limited datasets and costly simulations. This study presents a machine learning framework that develops scarce real-world ship data (27 tankers,...
Al-Amin Hossain Seam, M. Kabir, Zobair Ibn Awal· Engineering· 0 citations
Maritime accidents such as capsizing, storm-induced roll resonance, collisions and groundings continue to occur in Bangladesh’s inland and coastal waterways. While these events are usually linked to overloading, weather conditions, and maintenance issues, another important hydrodynamic factor - the Added Mass Coefficie...
M. Kabir, Al-Amin Hossain Seam, Zobair Ibn Awal· Engineering· 0 citations
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