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12 papers · 1 filter
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…
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
Charles Orioma, Josef Krivan, Rujeena Mathema +4
Properties of ocular fixations and saccades are highly stochastic during many experimental tasks, and their statistics are often used as proxies for various aspects of cognition. A…
FESTIM v2.0: Upgraded framework for multi-species hydrogen transport and enhanced performance
James Dark, Rémi Delaporte-Mathurin, Jørgen S. Dokken +6
FESTIM is an open-source finite element framework for modelling the transport of hydrogen isotopes in materials. It provides a flexible and extensible tool for simulating diffusion…
Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Erblin Isaku, Hassan Sartaj, Shaukat Ali +5
Self-adaptive robots (SARs) in complex, uncertain environments must proactively detect and address abnormal behaviors, including out-of-distribution (OOD) cases. To this end, digit…
Metamorphic Testing of Multimodal Human Trajectory Prediction
Helge Spieker, Nadjib Lazaar, Arnaud Gotlieb +1
Context: Predicting human trajectories is crucial for the safety and reliability of autonomous systems, such as automated vehicles and mobile robots. However, rigorously testing th…
Search-based Generation of Waypoints for Triggering Self-Adaptations in Maritime Autonomous Vessels
Karoline Nylænder, Aitor Arrieta, Shaukat Ali +1
Self-adaptation in maritime autonomous vessels (AVs) enables them to adapt their behaviors to address unexpected situations while maintaining dependability requirements. During the…