16 citations · 23 across the 7 of their papers we have counts for
5 papers · 1 filter
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
Daniel Menges, Florian Stadtmann, Henrik Jordheim +1
This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and th…
Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation
Daniel Menges, Adil Rasheed
Autonomous surface vessels (ASVs) are becoming increasingly significant in enhancing the safety and sustainability of maritime operations. To ensure the reliability of modern contr…
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
Daniel Menges, Adil Rasheed
In the current data-intensive era, big data has become a significant asset for Artificial Intelligence (AI), serving as a foundation for developing data-driven models and providing…
Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
Daniel Menges, Trym Tengesdal, Adil Rasheed
This article proposes an approach for collision avoidance, path following, and anti-grounding of autonomous surface vessels under consideration of environmental forces based on Non…
Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning
Daniel Menges, Andreas Von Brandis, Adil Rasheed
Autonomous surface vessels (ASVs) play an increasingly important role in the safety and sustainability of open sea operations. Since most maritime accidents are related to human fa…