In the realm of autonomous shipping, ensuring the safety of these vessels is paramount, and that’s where the work of Jae-Yong Lee, a researcher from the Department of Maritime Transportation System at Mokpo National Maritime University in South Korea
In the ever-evolving world of maritime technology, a groundbreaking study has emerged that could significantly enhance the way we monitor and maintain marine diesel engines. Published in the esteemed journal ‘Brodogradnja’ (which translates to ‘Shipb
AI Breakthrough Predicts Marine Engine Health with Unprecedented Accuracy Read More »
Researchers at the University of Chinese Academy of Sciences have developed a new architecture for maritime object detection that could significantly enhance the safety and efficiency of shipborne navigation. The team, led by Yu Zhang and Fengyuan Li
HMPNet: A Leap Forward in Maritime Object Detection Read More »
Researchers Jiahao Li, Jiancheng Pan, Yuze Sun, and Xiaomeng Huang have introduced a groundbreaking approach to ship detection in remote sensing imagery. Their work, titled “Semantic-Aware Ship Detection with Vision-Language Integration,” addresses c
Vision-Language Models Revolutionize Ship Detection in Maritime Tech Read More »
Researchers at the University of California, San Diego, have developed a groundbreaking ocean forecasting model that promises to revolutionize maritime navigation, hazard prediction, and sustainable ocean management. The team, led by Yuan Niu and Qiu
UC San Diego’s TianHai Model Revolutionizes Ocean Forecasting Read More »
Researchers from the Delft University of Technology and the University of Edinburgh have conducted a comprehensive benchmark study on deep reinforcement learning (RL) algorithms for the container stowage planning problem (CSPP). This research, led by
AI Algorithms Battle to Optimize Ship Cargo Stowage Read More »
Researchers from the Delft University of Technology have developed a new method for detecting ships that may be violating nitrogen oxide (NOx) emission regulations using satellite data and machine learning. The team, led by Solomiia Kurchaba and incl
AI and Satellites Team Up to Spot NOx-Cheating Ships Read More »
In the ever-evolving world of maritime shipping, understanding port traffic conditions is akin to having a crystal ball for logistics managers and port operators. A recent study published in the journal ‘Frontiers in Transportation of the Future’ off
Italian Researchers Decode Port Traffic with AIS Data Breakthrough Read More »
In the bustling world of automated container terminals, efficiency is the name of the game. And when it comes to optimizing operations, the scheduling of automated stacking cranes (ASCs) is a critical piece of the puzzle. A recent study published in
Shanghai Maritime University’s AI Breakthrough Speeds Up Automated Crane Scheduling Read More »
In a significant stride towards enhancing maritime safety, researchers have developed a comprehensive framework for testing maritime pyrotechnic articles, ensuring they meet rigorous international standards. The study, led by Ilie-Ciprian Jitea from
INSEMEX Researchers Revolutionize Maritime Pyrotechnic Safety Testing Read More »
