AI-Enabled Analysis of Electric Signals from Gyrocompass for Enhanced Navigation Management with Cybersecurity Considerations

The rapid advancement of artificial intelligence (AI) has revolutionized numerous fields, including navigation management. In particular, the analysis of electric signals from gyrocompass systems using AI techniques has emerged as a promising avenue for improving navigation efficiency and accuracy. This conference aims to bring together experts, researchers, and practitioners from various domains to discuss and explore the potential applications, challenges, and advancements in leveraging AI for the analysis of electric signals from gyrocompass systems. The paper will provide the latest research findings, a novel methodology for analyzing the signals from the gyrocompass and pointing out the important technological advancements in this domain. It will foster interdisciplinary collaborations and exchange of ideas, enabling everyone to gain insights into the state-of-the-art AI algorithms, signal processing methods and techniques, and machine learning models specifically designed for the analysis of electric signals from gyrocompass systems. Moreover, the contribution will facilitate discussions on the practical implications of implementing AI-driven solutions for navigation management, including improved vessel positioning, route planning, and overall safety enhancement.