RESOURCES
Deliverables
Publications
OPTIMIZATION OF AN AIR LUBRICATION SYSTEM FOR GEOMETRY & TOPOLOGY
OPTIMIZATION OF AN AIR LUBRICATION SYSTEM FOR GEOMETRY & TOPOLOGY Hannes Renzsch (FRIENDSHIP SYSTEMS)Andrew Spiteri, Eduardo Blanco-Davis (LJMU)Milad Armin (ENKI Marine)Alex Routledge (Armada Technologies) Presented
AI MODEL FOR THE PREDICTION OF SHIP MOTIONS AND FUEL CONSUMPTION OF A KAMSARMAX BULK CARRIER
AI MODEL FOR THE PREDICTION OF SHIP MOTIONS AND FUEL CONSUMPTION OF A KAMSARMAX BULK CARRIER Mingyang Zhang a, Pentti Kujala b, Spyros Hirdaris c, Nikolaos Tsoulakos d a Department
COMPARISON & EVALUATION OF LEARNING CAPABILITIES OF DEEP LEARNING METHODS FOR PREDICTING SHIP MOTIONS
COMPARISON & EVALUATION OF LEARNING CAPABILITIES OF DEEP LEARNING METHODS FOR PREDICTING SHIP MOTIONS Mingyang Zhang a, Cong Liu a, Pentti Kujala b, Spyros Hirdaris c a Department of Mechanical
AI-BASED SURROGATE MODELS FOR THE PREDICTION OF SHIP FUEL CONSUMPTION
AI-BASED SURROGATE MODELS FOR THE PREDICTION OF SHIP FUEL CONSUMPTION Mingyang Zhang a, Pentti Kujala b, Spyros Hirdaris c, Nikolaos Tsoulakos d a Department of Mechanical Engineering, Marine Technology
RETROFIT SOLUTIONS TO ACHIEVE 55% GHG REDUCTION BY 2030
RETROFIT SOLUTIONS TO ACHIEVE 55% GHG REDUCTION BY 2030 Andrew Spiteri (LJMU)Vasilios Zagkas & Reuben D’Souza, SimFWD This article about the RETROFIT55 project featured
Existing technologies and scientific advancements to decarbonize shipping by retrofitting
EXISTING TECHNOLOGIES AND SCIENTIFIC ADVANCEMENTS TO DECARBONIZE SHIPPING BY RETROFITTING Aleksander A. Kondratenko a,b , Mingyang Zhang c, Sasan Tavakoli d , Elias Altarriba e,f,
