2 citations · 4 across the 5 of their papers we have counts for
5 papers
Physics-guided Neural Network-based Shaft Power Prediction for Vessels
Dogan Altan, Hamza Haruna Mohammed, Glenn Terje Lines +2
Optimizing maritime operations, particularly fuel consumption for vessels, is crucial, considering its significant share in global trade. As fuel consumption is closely related to…
From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
Akriti Sharma, Dogan Altan, Dusica Marijan +1
With the growth of global maritime transportation, energy optimization has become crucial for reducing costs and ensuring operational efficiency. Shaft power is the mechanical powe…
Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
Dogan Altan, Mohammad Etemad, Dusica Marijan +1
Vessel navigation is influenced by various factors, such as dynamic environmental factors that change over time or static features such as vessel type or depth of the ocean. These…
CLUE-AI: A Convolutional Three-stream Anomaly Identification Framework for Robot Manipulation
Dogan Altan, Sanem Sariel
Robot safety has been a prominent research topic in recent years since robots are more involved in daily tasks. It is crucial to devise the required safety mechanisms to enable ser…
What went wrong?: Identification of Everyday Object Manipulation Anomalies
Dogan Altan, Sanem Sariel
Extending the abilities of service robots is important for expanding what they can achieve in everyday manipulation tasks. On the other hand, it is also essential to ensure them to…