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Showing result 1 - 5 of 11 swedish dissertations matching the above criteria.
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1. Surgeries on Legendrian Submanifolds
Abstract : This thesis consists of a summary of two papers dealing with questions related to Legendrian submanifolds of contact manifolds together with exact Lagrangian cobordisms between Legendrian submanifolds. The focus is on studying Legendrian submanifolds from the perspective of their handle decompositions. READ MORE
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2. Contributions to deep learning for imaging in radiotherapy
Abstract : Purpose: The increasing importance of medical imaging in cancer treatment, combined with the growing popularity of deep learning gave relevance to the presented contributions to deep learning solutions with applications in medical imaging.Relevance: The projects aim to improve the efficiency of MRI for automated tasks related to radiotherapy, building on recent advancements in the field of deep learning. READ MORE
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3. Observer Design and Model Augmentation for Bias Compensation with Engine Applications
Abstract : Control and diagnosis of complex systems demand accurate knowledge of certain quantities to be able to control the system efficiently and also to detect small errors. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE
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4. Safe, human-like, decision-making for autonomous driving
Abstract : Autonomous driving technology can significantly improve transportation by saving lives and social costs and increasing traffic efficiency and availability. Decision-making is a critical component of driving ability. Complex traffic environments and interactions between road users bring about many challenges in decision-making. READ MORE
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5. Model Error Compensation in ODE and DAE Estimators : with Automotive Engine Applications
Abstract : Control and diagnosis of complex systems demand accurate information of the system state to enable efficient control and to detect system malfunction. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE