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Researchers Kouki Wakita, Youhei Akimoto, and Atsuo Maki have developed a groundbreaking probabilistic prediction method for ship maneuvering motion, leveraging ensemble learning with feedforward neural networks. Their work, published in the field of

Researchers from Pohang University of Science and Technology (POSTECH) have introduced a groundbreaking dataset designed to enhance maritime safety through advanced object detection and tracking. The team, led by Jiwon Choi and including Dongjin Cho,

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

Researchers from the Norwegian University of Science and Technology (NTNU) and the University of California, Berkeley, have developed a novel framework called pacSTL (Probably Approximately Correct Signal Temporal Logic) that aims to enhance the safe

In the world of maritime security, every advantage counts. A recent study published in the journal ‘Curved and Layered Structures’ (translated from Indonesian as ‘Structures with Curves and Layers’) has shed light on how the design of patrol boat hul

In the icy waters of the Arctic, a silent conversation is taking place, one that’s increasingly being disrupted by the hum of vessel traffic. A recent study, led by Veronica L. M. Coppolaro from the Centre for Earth Observation Science at the Univers

In a significant stride for maritime forecasting, researchers have developed a novel hybrid model that promises to revolutionize wind speed prediction in the South China Sea. This isn’t just another academic exercise; it’s a game-changer for industri

In a significant stride towards enhancing maritime safety and efficiency, researchers have systematically reviewed the use of multi-source data to bolster ship navigation. The study, led by Xuhong Tang from the Institute of Logistics Science and Engi

In a significant stride for maritime safety and efficiency, researchers from Hangzhou Dianzi University have developed a novel algorithm for predicting ship trajectories using federated learning. This innovative approach, detailed in a recent paper p

In a groundbreaking study published in the journal Atmospheric Chemistry and Physics, researchers led by Dr. M. Ratynski from the Laboratory of Atmospheres, Milieux and Spatial Observations (LATMOS) in France have shed new light on the behavior of gr