Some Sort of Modern Application of AI, ML, IoT, Deep Learning on Maritime Engineering

Deep Learning (DL), the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI) are all combining to change maritime engineering. This study offers a condensed application architecture with an emphasis on fuel optimization, autonomous navigation, and predictive maintenance. Results using simulated datasets and machine learning techniques show a 12% increase in energy efficiency and 94% prediction accuracy in identifying mechanical defects. Predictive models’ quantitative results are displayed in tables and graphs. The study comes to the conclusion that intelligent technology adoption greatly improves maritime systems’ sustainability, safety, and mechanical dependability.