Blar i Fakultet for ingeniørvitenskap (IV) på emneord "Machine learning"
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Automated well log depth matching: Late fusion multimodal deep learning
(Peer reviewed; Journal article, 2022)Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of ... -
Neural network modelling of mechanical joints for the application in large-scale crash analyses
(Peer reviewed; Journal article, 2023)This paper presents an artificial neural network (NN) modelling approach to represent a connector model in large-scale finite element explicit crash simulations. The NN model was established to describe the local ... -
Predicting vessel speed in the Arctic without knowing ice conditions using AIS data and decision trees
(Peer reviewed; Journal article, 2021)The vessel speed is one of the important parameters that govern safety, emergency, and transport planning in the Arctic. While previous studies have traditionally relied on physics-based simulations to predict vessel's ... -
Reliable Unmanned Autonomous Systems: Conceptual Framework for Warning Identification during Remote Operations
(Journal article, 2021)In the offshore industry, unmanned autonomous systems are expected to have a permanent role in future operations. During offshore operations, the unmanned autonomous system needs definite instructions on evaluating the ...