The recent emergence of Internet-of-Things (IoT) technologies in mission-critical
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …

With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …

Abstract Machine Learning (ML) is revolutionizing supply chain and logistics optimization in
the oil and gas sector. This comprehensive analysis explores how ML algorithms are …

By enhancing data accessibility, the implementation of data-driven models has been made
possible to empower strategies in relation to O&M activities. Such models have been …

Abstract Recently, the Predictive Maintenance (PdM) concept has gotten increasing
attention in industrial practices and academic research. It is often used with real-time data to …

In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …

In this study, a risk assessment of a Liquefied Petroleum Gas (LPG) marine engine system
being developed for installation in the first LPG-powered ship in South Korea was performed …

One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …

Plant projects, referred to as Engineering Procurement and Construction (EPC), generate
massive amounts of data throughout their life cycle, from the planning stages to the …

Over the next few years, digitalization and automation are expected to be key drivers for
maritime transport innovation to be key drivers for maritime transportation innovation. This …