Machine learning (ML) techniques are extensively applied to practical maritime
transportation issues. Due to the difficulty and high cost of collecting large volumes of data in …

This review article explores the applications and impacts of Machine Learning (ML)
techniques in marine traffic management and prediction within complex maritime systems. It …

Abstract Machine Learning (ML) can be defined as a level of algorithm which may allow
software applications to create more accurate in forecasting outputs without being external …

Abstract Machine learning and data analytics can be used to inform technical, commercial
and financial decisions in the maritime industry. Applications of Machine Learning and Data …

Maritime transport is the backbone of international trade and globalization. Maritime
transport research can be roughly divided into two categories, namely the shipping side and …

There is an increasing interest in applying methods based on Machine Learning Techniques
(MLT) to problems in aviation operations. The current interest is based on developments in …

Sažetak This bachelor's thesis reviews the literature on the application of diverse machine
learning (ML) methods in the maritime industry, specifically focusing on automatic …

The recent emergence of futuristic ships is the result of advances in information and
communication technology, big data, and artificial intelligence. They are generally …

Data has become an exceedingly valuable resource that is used to power much of the
transformative technology we see today. But–although inherently valuable–data requires …

Deep learning methods are being increasingly applied in transport studies, while the
methods require modellers to go through a try-and-error model tuning process particularly …