In a significant stride towards enhancing maritime safety and operational efficiency, researchers have developed a hybrid model that combines classical statistical methods with artificial intelligence to predict failures in ship engine fuel systems.
In the bustling world of maritime shipping, a persistent headache for operators has been the global imbalance of empty containers. This imbalance not only jacks up operational costs but also contributes to those pesky greenhouse gas emissions that ev
Iranian Researcher’s Blockchain Model Slashes Maritime Container Imbalance Read More »
Researchers at the University of Liverpool, led by Zilong Xu and Zihao Wang, have developed a groundbreaking framework to enhance the safety of Maritime Autonomous Surface Ships (MASS) navigating through restricted waters. Their work, published in a
Liverpool Researchers Chart Safe Course for Autonomous Ships Read More »
Researchers from the University of Lille, including Minahil Raza, Hanna Prokopova, Samir Huseynzade, Sepinoud Azimi, and Sebastien Lafond, have introduced a groundbreaking dataset aimed at advancing autonomous maritime navigation. Their work, titled
SimuShips Dataset Propels Autonomous Maritime Navigation Forward Read More »
Researchers Zhuoyue Zhang and Haitong Xu have delved into the critical challenges of autonomous navigation in maritime domains, particularly focusing on Maritime Autonomous Surface Ships (MASS). Their work synthesizes findings from 100 studies, addre
Navigating MASS: Researchers Chart Course for Safer Autonomous Ships Read More »
Researchers Federico Zocco, Hsueh-Cheng Wang, and Mien Van from the University of Genoa have published a comprehensive review on the implementation of digital twins in marine operations. Their work aims to clarify how digital twins can be effectively
Digital Twins Steer Maritime Operations Into Future Read More »
In the bustling world of maritime trade, Indonesia’s Sumatra Island is stepping into the spotlight, thanks to a novel study that’s shaking up how we view port infrastructure. Setijadi Setijadi, a researcher from the Department of Industrial Engineeri
Sumatra’s Ports Set for Global Trade Dominance with Cutting-Edge Research Read More »
In a significant stride towards enhancing workplace safety in the maritime and manufacturing sectors, researchers have developed a novel framework for real-time risk governance of noise and fumigant hazards. The study, led by Hosein Esmaeili from the
Iranian Researchers Pioneer Real-Time Risk Governance for Maritime Workplace Hazards Read More »
In the wake of the COVID-19 pandemic, the maritime transport and trade relations between Hungary and China have been under the microscope, with a recent study shedding light on the impacts and resilience of these connections. Adrienn Boldizsár, from
Hungary-China Maritime Trade Resilience Shines Through Pandemic Challenges Read More »
In a bid to streamline global supply chains and cut down on costly delays, a Nigerian researcher has developed a machine learning model that predicts inland container delivery times with moderate accuracy. Godwin Nwachukwu Nkem, an operations special
Nigerian Model Forecasts Inland Container Delivery Times for Smarter Logistics Read More »
