Review of Application of Artificial Intelligence (AI) and Machine Learning (ML) in Marine Sector

Presented at: Global Maritime Seminar – GLOMARS – 2024

Authors: Zia Ur Rahman, Anil Kumar Korupoju, Arun Shankar Vilwathilakam, Dr. Asokendu Samanta

Date of presentation: 8th March 2024

Advancements in capabilities of Artificial Intelligence (AI) and Machine Learning (ML) have resulted in its increased application across various industries and Marine Industry is also in the pursuit of reaping benefits of this technology. Adoption of this technology has become pivotal in transforming shipping to be safer, efficient and sustainable. Data from various sources like remote sensing, numerical simulations and testbeds is used to train Machine Learning and Artificial Neural Network (ANN) models. These models are being used in areas like design optimization, Structural Health Monitoring (SHM), fault diagnosis, hull resistance evaluation and wave modelling. It is also employed in aspects such as ship operational performance, predictive maintenance, estimation of emissions, collision avoidance and fuel consumption. Recent developments in AI & ML demonstrate promising trend in obtaining desired results in these areas along with increased efficiency. This study explores recent trends and developments in the application of AI & ML in Marine Industry and investigates various processes involved in model development such as data collection, data pre-processing, learning algorithms, performance metrics, and model validation. The paper also reviews various challenges in application of these technologies along with methods to address these challenges.