Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

This study investigates the growing concerns surrounding seaborne ship** and
increasing expectations in the maritime sector due to the technological revolution. This study …

The revolutionary advances in machine learning and data mining techniques have
contributed greatly to the rapid developments of maritime Internet of Things (IoT). In maritime …

Maritime transport is intimately tied to the global economy and trade. Research on maritime
transport risk is of great significance to prevent maritime accidents and enhance the safety of …

With the growing concerns over energy scarcity and environmental degradation, multi-
energy hybrid propulsion systems are emerging as a vital innovation for the future of …

The area of maritime transportation optimization has recently begun to achieve increasing
success at solving large scale models, and industry is steadily adopting operations research …

Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

Improving maritime operations planning and scheduling can play an important role in
enhancing the sector's performance and competitiveness. In this context, accurate ship …

The catastrophic consequences of the recent hazardous cargo port accidents have raised
serious concerns for the port safety and maritime transportation officials. Human factor is one …

In order to enhance the efficiency of port operations, the scheduling problem of the quay
cranes and yard trucks is crucial. Conventional port operation mode lacks optimization …