In a significant stride towards bolstering port resilience along the 21st Century Maritime Silk Road (MSR), a recent study published in the journal ‘Systems’ (formerly known as Systems Science & Control Engineering) has shed light on the pivotal role
In the ever-evolving world of maritime technology, a groundbreaking study led by Bing Sun, a researcher at the Logistics Engineering College of Shanghai Maritime University, is making waves. The research, published in the journal “Biomimetics” (which
Shanghai Maritime University’s AUV Path Planning Breakthrough Navigates Dynamic Waters Read More »
In a significant stride towards greener maritime operations, researchers have delved into the impacts of a ternary mixed fuel blend on marine diesel engines, offering promising insights for the industry. The study, led by Peng Geng from the Logistics
Shanghai Maritime University’s Green Fuel Blend Cuts NOx, Soot Emissions Read More »
In a significant stride towards enhancing Arctic navigation safety, a recent study led by Deling Wang from the Merchant Marine College at Shanghai Maritime University has shed light on how non-icebreaking ships maneuver in icy waters. The research, p
Shanghai Maritime University’s Ice Navigation Breakthrough Safeguards Arctic Shipping Read More »
In the ever-evolving world of maritime technology, a groundbreaking study has emerged that could significantly impact the way unmanned surface vehicles (USVs) operate, especially in the face of cyber threats. Led by Dongwei Wang from the Logistics En
Shanghai Maritime University’s Cyber Defense Breakthrough Safeguards USV Fleets Read More »
In the bustling world of maritime navigation, where every second counts and safety is paramount, a groundbreaking study led by Fusun Er from the Department of Computer Engineering at Piri Reis University in Istanbul, Turkey, is making waves. Publishe
Piri Reis University’s Deep Learning Model Redefines Maritime Navigation Safety Read More »
In a significant stride towards enhancing Arctic maritime safety, researchers have turned to machine learning to better assess navigation risks for low ice-class vessels. The study, led by Yuanyuan Zhang from the School of Geographical Sciences at Li
Machine Learning Charts Safer Course for Arctic Shipping Read More »
In the ever-evolving world of maritime navigation and safety, predicting vessel trajectories has become a critical piece of the puzzle. A recent study published in the ‘Journal of Marine Science and Engineering’ (which translates to ‘Journal of Ocean
Cyprus Study Charts Course for Safer Seas with Deep Learning Trajectory Prediction Read More »
In the vast expanse of the open sea, keeping tabs on every vessel is no easy feat. Small boats, in particular, can be a challenge to detect due to their low radar reflection intensity. This is where the work of Yongfeng Suo, a researcher from the Nav
Jimei University’s AI Breakthrough Slashes Small Vessel Detection Misses by 73.4% Read More »
In the bustling waters of coastal regions, where ships navigate in close proximity, the risk of collisions is a constant concern. A recent study, led by Hee-Jin Lee from the Division of Education and Planning at the Korea Institute of Maritime and Fi
Korea’s CDC-ANFIS System Revolutionizes Maritime Collision Risk Assessment Read More »
