Maritime applications such as targeting ships for inspections, improved domain awareness,
and dynamic risk exposure assessments for strategic planning all benefit from ship-specific …

Abstract Machine learning (ML), particularly, Automated machine learning (AutoML) offers a
range of possibilities for analysing large volumes of historical maritime accidents data with …

The wide spread of Automatic Identification System (AIS) and tools based on it has
motivated several maritime analytics operations. One of the most critical operations for the …

The purpose of this article is to analyse the risk related to the transfer of personnel between
units operating on the water. Although several regulations exist, there are still a high volume …

The rise of artificial intelligence and advanced automation techniques have supported the
development of Maritime Autonomous Surface Ships (MASS). Countries and companies are …

Risk assessment is important both while planning to build new infrastructure and for
maintenance of existing structures. The probability of ship-structure allisions could be …

Introduction. The methods of traffic modeling by water transport and assessing the risks
associated with it is needed to identify the issues of the past period, proposing methods for …